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WO2024026884A1 - Procédé et appareil de modélisation de canal à trajets multiples bidirectionnels, dispositif et support de stockage - Google Patents

Procédé et appareil de modélisation de canal à trajets multiples bidirectionnels, dispositif et support de stockage Download PDF

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Publication number
WO2024026884A1
WO2024026884A1 PCT/CN2022/110703 CN2022110703W WO2024026884A1 WO 2024026884 A1 WO2024026884 A1 WO 2024026884A1 CN 2022110703 W CN2022110703 W CN 2022110703W WO 2024026884 A1 WO2024026884 A1 WO 2024026884A1
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Prior art keywords
transmission path
path
paths
candidate transmission
candidate
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PCT/CN2022/110703
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English (en)
Chinese (zh)
Inventor
张振宇
吴昱民
赵群
Original Assignee
北京小米移动软件有限公司
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Application filed by 北京小米移动软件有限公司 filed Critical 北京小米移动软件有限公司
Priority to PCT/CN2022/110703 priority Critical patent/WO2024026884A1/fr
Priority to CN202280002555.2A priority patent/CN117859275A/zh
Publication of WO2024026884A1 publication Critical patent/WO2024026884A1/fr

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    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04B—TRANSMISSION
    • H04B17/00—Monitoring; Testing
    • H04B17/30—Monitoring; Testing of propagation channels
    • H04B17/391—Modelling the propagation channel

Definitions

  • the present disclosure relates to the field of communication technology, and in particular, to a bidirectional multipath channel modeling method, device, equipment and storage medium.
  • Synesthesia integration technology Integrated Sensing and Communications, ISAC
  • synaesthesia technology has become one of the potential key technologies of 5G.
  • the synaesthesia system integrates the traditional radar system and the traditional communication system, using the same spectrum resources and hardware platform, so that the traditional communication system has the perception and detection function of radar.
  • the base station senses UEs or other targets in the environment, and the BS sends out sensing signals.
  • the sensing signal is reflected back to the BS after passing through the UE or other targets, so the two-way multipath channel needs to be considered in the channel modeling of the synaesthesia system, that is, the channel of the echo signal needs to be considered.
  • Embodiments of the present disclosure provide a bidirectional multipath channel modeling method, device, equipment, chip system, storage medium, computer program and computer program product, which can be applied in the field of communication technology and can effectively combine the third channel model in the channel model establishment process.
  • the bidirectional multipath channel modeling method proposed by the embodiment of the first aspect of the present disclosure includes: determining the first transmission path used by the communication device to send the first signal to the sensing object; determining the second transmission path used to transmit the second signal, wherein , the first signal is reflected by the sensing object to form a second signal, and the first transmission path and/or the second transmission path are used to establish a channel model.
  • the first transmission path includes at least one of the following:
  • Non-line-of-sight transmission NLOS path NLOS path
  • the second transmission path includes at least one of the following:
  • Non-line-of-sight transmission NLOS path NLOS path
  • determining the second transmission path used to transmit the second signal includes:
  • a second transmission path for transmitting the second signal is determined.
  • the sensing object includes at least one of the following:
  • At least one scattering cluster At least one scattering cluster.
  • the candidate transmission path includes at least one of the following: a first candidate transmission path, a second candidate transmission path, and a third candidate transmission path;
  • the first candidate transmission path is the transmission path between the sensing object and the communication device
  • the second candidate transmission path is the transmission path between the sensing object, the scatterer or the scattering cluster, and the communication device;
  • the third candidate transmission path is a transmission path between a scatterer or a scattering cluster and the communication device.
  • the candidate transmission paths include: a first candidate transmission path and a second candidate transmission path; and the second transmission path for transmitting the second signal is determined from the plurality of candidate transmission paths.
  • Transmission paths include:
  • the first candidate transmission path is used as the second transmission path for transmitting the second signal, and,
  • the second candidate transmission path is used as a second transmission path for transmitting the second signal.
  • the channel model includes at least one of the following:
  • the total number of paths is K 2 ;
  • the number of paths containing unidirectional LOS paths is 2K-1;
  • K represents the number of perceived objects.
  • determining a second transmission path for transmitting a second signal from the plurality of candidate transmission paths includes:
  • a second transmission path for transmitting the second signal is determined from the plurality of candidate transmission paths.
  • the candidate transmission path includes: a first candidate transmission path and a second candidate transmission path; and according to the first transmission path, the candidate transmission path is determined from the plurality of candidate transmission paths.
  • the second transmission path for transmitting the second signal includes:
  • the paired candidate transmission paths are a LOS path and/or an NLOS path;
  • the paired candidate transmission paths are a LOS path and/or an NLOS path.
  • the channel model includes at least one of the following:
  • the total number of paths is K;
  • the number of paths containing bidirectional LOS paths is 0 or 1;
  • K represents the number of perceived objects.
  • the candidate transmission path includes: a first candidate transmission path and a second candidate transmission path, and the method for determining the transmission path for use is determined from the plurality of candidate transmission paths according to the first transmission path.
  • the second transmission path for transmitting the second signal includes:
  • the paired candidate transmission path is a LOS path
  • the paired candidate transmission path is an NLOS path.
  • the channel model includes at least one of the following:
  • the total number of paths is K;
  • the number of paths including the bidirectional LOS path is 1;
  • K represents the number of perceived objects.
  • the candidate transmission path includes: a first candidate transmission path and a third candidate transmission path; and according to the first transmission path, the candidate transmission path is determined from the plurality of candidate transmission paths.
  • the second transmission path for transmitting the second signal includes:
  • the first transmission path is a LOS path, and the mutually opposite candidate transmission paths are LOS paths;
  • the path identifier of the first transmission path is the same as the path identifier of the mutually opposite candidate transmission path.
  • the channel model includes at least one of the following:
  • the total number of paths is K;
  • Each path contains a bidirectional LOS path
  • K represents the number of perceived objects.
  • the candidate transmission path includes: a first candidate transmission path, a second candidate transmission path, and a third candidate transmission path; according to the first transmission path, from the plurality of The second transmission path determined for transmitting the second signal among the candidate transmission paths includes:
  • the channel model includes at least one of the following:
  • the total number of paths is K 2 +K;
  • the number of paths including one-way LOS paths is 2K-1;
  • the number of paths including bidirectional LOS paths is K;
  • K represents the number of perceived objects.
  • the bidirectional multipath channel modeling method proposed by the embodiment of the first aspect of the present disclosure determines the second transmission path used to transmit the second signal by determining the first transmission path used by the communication device to send the first signal to the sensing object, wherein, The first signal is reflected by the sensing object to form a second signal.
  • the first transmission path and/or the second transmission path are used to establish a channel model.
  • the first transmission path and/or the second transmission path can be effectively combined in the channel model establishment process.
  • Related information thereby effectively improving the description effect of the obtained channel model on channel characteristics.
  • the bidirectional multipath channel modeling device proposed by the embodiment of the second aspect of the present disclosure includes: a first determination module for determining the first transmission path used by the communication device to send the first signal to the sensing object; a second determination module for Determine a second transmission path for transmitting a second signal, wherein the first signal is reflected by the sensing object to form a second signal, and the first transmission path and/or the second transmission path are used to establish a channel Model.
  • the first transmission path includes at least one of the following:
  • Non-line-of-sight transmission NLOS path NLOS path
  • the second transmission path includes at least one of the following:
  • Non-line-of-sight transmission NLOS path NLOS path
  • the second determination module includes:
  • the first determination sub-module is used to determine multiple candidate transmission paths existing between the sensing object and the communication device;
  • the second determination sub-module is configured to determine a second transmission path for transmitting the second signal from the plurality of candidate transmission paths.
  • the sensing object includes at least one of the following:
  • At least one scattering cluster At least one scattering cluster.
  • the candidate transmission path includes at least one of the following: a first candidate transmission path, a second candidate transmission path, and a third candidate transmission path;
  • the first candidate transmission path is the transmission path between the sensing object and the communication device
  • the second candidate transmission path is the transmission path between the sensing object, the scatterer or the scattering cluster, and the communication device;
  • the third candidate transmission path is a transmission path between a scatterer or a scattering cluster and the communication device.
  • the candidate transmission path includes: a first candidate transmission path and a second candidate transmission path; the second determination submodule is specifically used for:
  • the first candidate transmission path is used as a second transmission path for transmitting the second signal
  • the second candidate transmission path is used as the second transmission path for transmitting the second signal
  • the channel model includes at least one of the following:
  • the total number of paths is K 2 ;
  • the number of paths containing unidirectional LOS paths is 2K-1;
  • K represents the number of perceived objects.
  • the second determination sub-module is specifically used to:
  • a second transmission path for transmitting the second signal is determined from the plurality of candidate transmission paths.
  • the candidate transmission path includes: a first candidate transmission path and a second candidate transmission path; the second determination submodule is also used to:
  • the paired candidate transmission paths are a LOS path and/or an NLOS path;
  • the paired candidate transmission paths are a LOS path and/or an NLOS path.
  • the channel model includes at least one of the following:
  • the total number of paths is K;
  • the number of paths containing bidirectional LOS paths is 0 or 1;
  • K represents the number of perceived objects.
  • the candidate transmission path includes: a first candidate transmission path and a second candidate transmission path; the second determination submodule is also used to:
  • the paired candidate transmission path is a LOS path
  • the paired candidate transmission path is an NLOS path.
  • the channel model includes at least one of the following:
  • the total number of paths is K;
  • the number of paths including the bidirectional LOS path is 1;
  • K represents the number of perceived objects.
  • the candidate transmission path includes: a first candidate transmission path and a third candidate transmission path; the second determination submodule is also used to:
  • the first transmission path is a LOS path, and the mutually opposite candidate transmission paths are LOS paths;
  • the path identifier of the first transmission path is the same as the path identifier of the mutually opposite candidate transmission path.
  • the channel model includes at least one of the following:
  • the total number of paths is K;
  • Each path contains a bidirectional LOS path
  • K represents the number of perceived objects.
  • the candidate transmission path includes: a first candidate transmission path, a second candidate transmission path, and a third candidate transmission path; the second determination submodule is also used to:
  • the channel model includes at least one of the following:
  • the total number of paths is K 2 +K;
  • the number of paths including one-way LOS paths is 2K-1;
  • the number of paths including bidirectional LOS paths is K;
  • K represents the number of perceived objects.
  • the bidirectional multipath channel modeling device proposed by the embodiment of the second aspect of the present disclosure determines the second transmission path used to transmit the second signal by determining the first transmission path used by the communication device to send the first signal to the sensing object, wherein, The first signal is reflected by the sensing object to form a second signal.
  • the first transmission path and/or the second transmission path are used to establish a channel model.
  • the first transmission path and/or the second transmission path can be effectively combined in the channel model establishment process.
  • Related information thereby effectively improving the description effect of the obtained channel model on channel characteristics.
  • the third embodiment of the present disclosure provides an electronic device, including a memory, a processor, and a computer program stored in the memory and executable on the processor.
  • the processor executes the program, the implementation of the first embodiment of the present disclosure is implemented.
  • Proposed bidirectional multipath channel modeling method Proposed bidirectional multipath channel modeling method.
  • the fourth embodiment of the present disclosure provides a non-transitory computer-readable storage medium on which a computer program is stored.
  • the program is executed by a processor, the bidirectional multipath channel construction as proposed in the first embodiment of the present disclosure is implemented. model method.
  • the fifth embodiment of the present disclosure provides a computer program product.
  • instructions in the computer program product are executed by a processor, the bidirectional multipath channel modeling method proposed in the first embodiment of the present disclosure is executed.
  • Figure 1 is a schematic flowchart of a bidirectional multipath channel modeling method proposed by an embodiment of the present disclosure
  • Figure 2 is a schematic flowchart of a bidirectional multipath channel modeling method proposed by another embodiment of the present disclosure
  • Figure 3 is a schematic flowchart of a bidirectional multipath channel modeling method proposed by another embodiment of the present disclosure.
  • Figure 4 is a schematic diagram of a multipath channel modeling proposed by an embodiment of the present disclosure.
  • Figure 5 is a schematic flowchart of a bidirectional multipath channel modeling method proposed by another embodiment of the present disclosure.
  • Figure 6 is a schematic flowchart of a bidirectional multipath channel modeling method proposed by another embodiment of the present disclosure.
  • Figure 7 is a schematic diagram of another multipath channel modeling proposed by an embodiment of the present disclosure.
  • Figure 8a is a schematic flowchart of a bidirectional multipath channel modeling method proposed by another embodiment of the present disclosure.
  • Figure 8b is a schematic diagram of another multipath channel modeling proposed by an embodiment of the present disclosure.
  • Figure 9 is a schematic flowchart of a bidirectional multipath channel modeling method proposed by another embodiment of the present disclosure.
  • Figure 10 is a schematic diagram of another multipath channel modeling proposed by an embodiment of the present disclosure.
  • Figure 11 is a schematic flowchart of a bidirectional multipath channel modeling method proposed by another embodiment of the present disclosure.
  • Figure 12 is a schematic diagram of another multipath channel modeling proposed by an embodiment of the present disclosure.
  • Figure 13 is a schematic structural diagram of a bidirectional multipath channel modeling device proposed by an embodiment of the present disclosure.
  • Figure 14 is a schematic structural diagram of a bidirectional multipath channel modeling device proposed by another embodiment of the present disclosure.
  • FIG. 15 illustrates a block diagram of an exemplary electronic device suitable for implementing embodiments of the present disclosure.
  • first, second, third, etc. may be used to describe various information in the embodiments of the present disclosure, the information should not be limited to these terms. These terms are only used to distinguish information of the same type from each other.
  • first information may also be called second information, and similarly, the second information may also be called first information.
  • the words "if” and “if” as used herein may be interpreted as “when” or “when” or “in response to determining.”
  • Communication sensing integration refers to a new information processing technology that simultaneously realizes the collaboration of sensing and communication functions based on software and hardware resource sharing or information sharing, which can effectively improve system spectrum efficiency, hardware efficiency, and information processing efficiency.
  • the perception capability focuses on wireless signal perception, that is, by analyzing the direct, reflected, and scattered signals of radio waves, the perception of the target object or environmental information (such as attributes and status, etc.) is obtained to complete positioning, ranging, Speed measurement, imaging, detection, recognition, environment reconstruction and other functions enable perceptual exploration of the physical world.
  • Line-of-sight wireless transmission refers to the transmission of signals between the transmitting antenna and the receiving antenna at a distance where "each other can be seen".
  • Line of sight wireless transmission (Line of Sight, LOS) can be divided into two categories: the first category is complete transmission, that is, there are no obstacles that affect signal propagation between the two antennas, and the signal is completely transmitted; the second category is called “Non Line of Sight (NLOS) wireless transmission” means that the distance between the two antennas is blocked by obstacles.
  • Figure 1 is a schematic flowchart of a bidirectional multipath channel modeling method proposed by an embodiment of the present disclosure.
  • the execution subject of the bidirectional multipath channel modeling method in this embodiment is a bidirectional multipath channel modeling device.
  • the device can be implemented by software and/or hardware.
  • the device can be configured in an electronic device. There are no restrictions on this.
  • An electronic device is a device that sends data to or receives data from other devices via communication facilities. That is to say, the electronic device can be, for example, a terminal device capable of network communication connection, a network device (such as a base station), etc., There are no restrictions on this.
  • the bidirectional multipath channel modeling method includes:
  • S101 Determine the first transmission path used by the communication device to send the first signal to the sensing object.
  • communication equipment refers to electronic equipment with communication functions, which may be, for example, network equipment (base stations, transmission points, etc.) or terminal equipment (mobile phones, vehicle-mounted equipment, wearable devices, etc.).
  • network equipment base stations, transmission points, etc.
  • terminal equipment mobile phones, vehicle-mounted equipment, wearable devices, etc.
  • the sensing object refers to the object sensed by the communication sensing integrated system, for example, it can be a terminal device, a base station, a vehicle, an obstacle, etc., or it can also be an indicator such as weather information, air quality, speed, distance, etc.
  • the first signal refers to a signal sent by the communication device to the sensing object.
  • the first transmission path refers to the path used by the first signal to transmit from the communication device to the sensing object, and the number of the first transmission paths may be one or more.
  • S201 Determine a second transmission path for transmitting a second signal, wherein the first signal is reflected by the sensing object to form a second signal, and the first transmission path and/or the second transmission path are used to establish a channel model.
  • the second signal refers to the echo signal formed by the reflection of the first signal by the sensing object.
  • the second transmission path refers to the path used by the second signal to transmit from the sensing object to the communication device, and the number of the second transmission paths may be one or more.
  • the channel model refers to a model established based on the transmission characteristics of the known channel, which can be used to abstractly describe the mathematical characteristics of the channel.
  • the second transmission path for transmitting the second signal is determined, wherein the first signal is reflected by the sensing object to form the second signal.
  • the first transmission path and/or the second transmission path are used to establish a channel model, which can effectively combine the relevant information of the first transmission path and/or the second transmission path during the channel model establishment process, thereby effectively improving the channel characteristics of the obtained channel model. description effect.
  • Embodiments of the present disclosure also provide a bidirectional multipath channel modeling method.
  • the first transmission path includes at least one of the following: line of sight transmission (Line of Sight, LOS) path, non-line of sight transmission (Non-line of Sight, NLOS). ) path, thereby effectively improving the flexibility of the first transmission path type in the modeling process to adapt to personalized application scenarios.
  • line-of-sight transmission path refers to the path through which signals are transmitted based on line-of-sight.
  • the non-line-of-sight transmission path refers to the path through which signals are transmitted based on non-line-of-sight.
  • Embodiments of the present disclosure also provide a bidirectional multipath channel modeling method.
  • the second transmission path includes at least one of the following: a line-of-sight transmission LOS path and a non-line-of-sight transmission NLOS path. This can effectively improve the modeling process. Adaptability of the second transmission path to application scenarios.
  • the propagation conditions of wireless communication systems can generally be divided into two environments: line-of-sight transmission and non-line-of-sight transmission.
  • line-of-sight transmission conditions wireless signals can propagate in a straight line between the sending end and the receiving end without obstruction.
  • wireless signals can only reach the receiving end through reflection, scattering and diffraction, which is called This is non-line-of-sight transmission.
  • FIG. 2 is a schematic flowchart of a bidirectional multipath channel modeling method proposed by another embodiment of the present disclosure. As shown in Figure 2, the bidirectional multipath channel modeling method includes:
  • S102 Determine multiple candidate transmission paths existing between the sensing object and the communication device.
  • candidate transmission paths refer to transmission paths that may be used for signal transmission between the sensing object and the communication device.
  • S202 Determine a second transmission path for transmitting the second signal from multiple candidate transmission paths.
  • the obtained second transmission path can be effectively improved. reliability.
  • Embodiments of the present disclosure also provide a bidirectional multipath channel modeling method.
  • the sensing object includes at least one of the following: a sensing target, at least one scatterer, and at least one scattering cluster.
  • the modeling of the sensing object can be effectively improved.
  • the flexibility of indication content in the process effectively improves the modeling effect of bidirectional multipath channels.
  • the perception target refers to the target object that needs to be sensed for communication and perception integration.
  • scatterers refer to objects that can scatter signals (such as buildings, vehicles, etc.).
  • Scattering clusters can refer to a combination of multiple scatterers.
  • Embodiments of the present disclosure also provide a bidirectional multipath channel modeling method.
  • the candidate transmission path includes at least one of the following: a first candidate transmission path, a second candidate transmission path, and a third candidate transmission path; wherein, the first candidate transmission path
  • the candidate transmission path is the transmission path between the sensing object and the communication device; where the second candidate transmission path is the transmission path between the sensing object, the scatterer or the scattering cluster, and the communication device; where the third candidate transmission path is the scattering The transmission path between the body or scattering cluster and the communication equipment.
  • Embodiments of the present disclosure also provide a bidirectional multipath channel modeling method, which can be used to determine multiple candidate transmission paths existing between the sensing object and the communication device. For example, it can be used to implement the determination of the sensing object and the communication device in step S102. Multiple candidate transmission paths exist between communication devices.
  • the method includes at least one of the following: using the transmission path between the sensing object and the communication device as the first candidate transmission path; using the transmission path between the sensing object, scatterers or scattering clusters, and the communication device as the second candidate transmission path ; Use the transmission path between the scatterer or scattering cluster and the communication device as the third candidate transmission path; wherein at least one of the first candidate transmission path, the second candidate transmission path, and the third candidate transmission path is used as the candidate transmission path ;
  • the multiple candidate transmission paths can be effectively adapted to personalized transmission scenarios, thereby providing reliable reference information for the bidirectional multipath channel modeling process.
  • the first candidate transmission path refers to the transmission path between the sensing object and the communication device.
  • the second transmission candidate transmission path refers to the transmission path between sensing objects, scatterers or scattering clusters, and communication devices.
  • the third candidate transmission path refers to the transmission path between the scatterer or scattering cluster and the communication device.
  • this embodiment can be implemented alone or in combination with other embodiments of the present disclosure.
  • this embodiment may be exemplarily implemented in conjunction with the embodiment shown in FIG. 1 .
  • FIG. 3 is a schematic flowchart of a bidirectional multipath channel modeling method proposed by another embodiment of the present disclosure.
  • the bidirectional multipath channel modeling method includes:
  • S103 Determine multiple candidate transmission paths existing between the sensing object and the communication device.
  • S203 Use the first candidate transmission path as the second transmission path for transmitting the second signal, and use the second candidate transmission path as the second transmission path for transmitting the second signal.
  • the first candidate transmission path and the second candidate transmission path are determined as the second transmission path. These two steps can be executed at the same time or in any order. The disclosed embodiments do not limit this.
  • the first candidate transmission path is used as the second transmission path for transmitting the second signal
  • the second candidate transmission path is used as the second transmission path for transmitting the second signal
  • the candidate transmission path includes :
  • the first candidate transmission path and the second candidate transmission path can effectively improve the adaptability between the second transmission path and the second signal, thereby ensuring the reliability of the bidirectional multipath channel modeling process.
  • the embodiment of the present disclosure also provides a bidirectional multipath channel modeling method.
  • the channel model includes at least one of the following: the total number of paths is K 2 ; the number of paths including unidirectional LOS paths is 2K-1; where, K Represents the number of perceived objects.
  • bidirectional scatterers can be generated randomly, that is, the forward and reverse scatterers (or clusters) are different (for example, normalized delay, power, distance information, angle information, etc.).
  • the corresponding second signal can be reflected back to the BS through any LOS path or NLOS path.
  • LOS path as the first transmission path
  • 3 LOS path or NLOS path as the second transmission path
  • NLOS path as the second transmission path
  • the first transmission path uses the LOS path as the second transmission path (2).
  • this embodiment can be implemented alone or in combination with other embodiments of the present disclosure.
  • this embodiment may be exemplarily implemented in conjunction with the embodiment shown in FIG. 1 .
  • FIG. 5 is a schematic flowchart of a bidirectional multipath channel modeling method proposed by another embodiment of the present disclosure. As shown in Figure 5, the bidirectional multipath channel modeling method includes:
  • S105 Determine multiple candidate transmission paths that exist between the sensing object and the communication device, and determine a second transmission path for transmitting the second signal from the multiple candidate transmission paths based on the first transmission path.
  • the transmission path between the first transmission path and the second transmission path can be effectively improved. Adaptability.
  • this embodiment can be implemented alone or in combination with other embodiments of the present disclosure.
  • this embodiment may be exemplarily implemented in conjunction with the embodiment shown in FIG. 1 .
  • FIG. 6 is a schematic flowchart of a bidirectional multipath channel modeling method proposed by another embodiment of the present disclosure. As shown in Figure 6, the bidirectional multipath channel modeling method includes:
  • S106 Determine multiple candidate transmission paths that exist between the sensing object and the communication device, and determine a candidate transmission path that matches the first transmission path from the multiple candidate transmission paths.
  • the candidate transmission path paired with the first transmission path refers to the candidate transmission path suitable for reflecting the signal transmitted by the first transmission path back to the communication device.
  • the candidate transmission paths include: a first candidate transmission path and a second candidate transmission path.
  • S206 Use the paired candidate transmission path as the second transmission path for transmitting the second signal. If the first transmission path is the LOS path, then the paired candidate transmission path is the LOS path and/or the NLOS path. If the first transmission path is If the transmission path is an NLOS path, then the paired candidate transmission paths are LOS paths and/or NLOS paths.
  • a candidate transmission path that is paired with the first transmission path is determined from a plurality of candidate transmission paths, and the paired candidate transmission path is used as the second transmission path for transmitting the second signal, where the candidate transmission path is
  • the transmission path includes: a first candidate transmission path and a second candidate transmission path. If the first transmission path is a LOS path, then the paired candidate transmission path is a LOS path and/or an NLOS path. If the first transmission path is an NLOS path, Then the paired candidate transmission paths are LOS paths and/or NLOS paths, which can effectively improve the flexibility of the pairing process of the first transmission path and the second transmission path, thereby effectively improving the applicability of the bidirectional multipath channel modeling process.
  • the first transmission path is a LOS path
  • the paired candidate transmission paths may all be LOS paths, all may be NLOS paths, or they may include both LOS paths and NLOS paths.
  • the paired candidate transmission paths may all be LOS paths, or they may all be NLOS paths, or they may include both LOS paths and NLOS paths.
  • the channel model includes at least one of the following: the total number of paths is K, and the number of paths including bidirectional LOS paths is 0 or 1, where K represents the number of sensing objects.
  • bidirectional scatterers can be randomly generated, that is, the forward and reverse scatterers (or clusters) are different (for example, normalized delay, power, distance information, angle information, etc.).
  • the NLOS path of the first signal passing through scatterer 1 is NLOS1
  • the LOS path is LOS2
  • the NLOS path passing through scatterer 2 is NLOS3
  • the NLOS path passing through scatterer 3 is NLOS3.
  • the NLOS path of the second signal passing through scatterer 1 is NLOS1 inverse
  • the LOS path passing through scatterer 2 is NLOS3 inverse
  • the NLOS path passing through scatterer 2 is NLOS3 inverse
  • the NLOS path passing through scatterer 3 is NLOS4 inverse
  • NLOS1 is paired with LOS2 inversely
  • LOS2 is paired with NLOS3 inversely
  • NLOS3 is paired with NLOS4 inversely
  • NLOS4 is paired with NLOS1 inversely
  • this embodiment can be implemented alone or in combination with other embodiments of the present disclosure.
  • this embodiment may be exemplarily implemented in conjunction with the embodiment shown in FIG. 1 .
  • Figure 8a is a schematic flowchart of a bidirectional multipath channel modeling method proposed by another embodiment of the present disclosure.
  • the bidirectional multipath channel modeling method includes:
  • S108 Determine multiple candidate transmission paths that exist between the sensing object and the communication device, and determine a candidate transmission path that matches the first transmission path from the multiple candidate transmission paths.
  • the candidate transmission paths include: a first candidate transmission path and a second candidate transmission path.
  • S208 Use the paired candidate transmission path as the second transmission path for transmitting the second signal. If the first transmission path is the LOS path, then the paired candidate transmission path is the LOS path. If the first transmission path is the NLOS path, , then the paired candidate transmission path is the NLOS path.
  • a candidate transmission path that is paired with the first transmission path is determined from a plurality of candidate transmission paths, and the paired candidate transmission path is used as the second transmission path for transmitting the second signal, where the candidate transmission path is
  • the transmission path includes: a first candidate transmission path and a second candidate transmission path. If the first transmission path is a LOS path, then the paired candidate transmission path is an LOS path. If the first transmission path is an NLOS path, then the paired candidate transmission path is an NLOS path. The transmission path is an NLOS path, thereby effectively improving the consistency between the first transmission path type and the second transmission path type in the bidirectional multipath channel modeling process.
  • the channel model includes at least one of the following: the total number of paths is K, and the number of paths including a bidirectional LOS path is 1, where K represents the number of sensing objects.
  • the echo (second signal) of the sensing target is reflected back to the BS, for any path from the BS to the sensing target (the first transmission path), the echo can only pass through the LOS path or the NLOS path passing through the scatterer (or cluster).
  • One path in the path returns to the BS, and the LOS paths in the bidirectional path are paired, and the NLOS paths in the bidirectional path are randomly paired.
  • bidirectional scatterers can be randomly generated, that is, the forward and reverse scatterers (or clusters) are different (for example, normalized delay, power, distance information, angle information, etc.).
  • the NLOS path of the first signal passing through scatterer 1 is NLOS1 and the LOS path is LOS2.
  • the NLOS path passing through scatterer 2 is NLOS3.
  • the NLOS path of 3 is NLOS4, and the NLOS path of the second signal passing through scatterer 1 is NLOS1 inverse, the LOS path is LOS2 inverse, the NLOS path passing through scatterer 2 is NLOS3 inverse, and the NLOS path passing through scatterer 3 is NLOS4 inverse.
  • the pairing method of the first transmission path and the second transmission path can also be an inverse pairing of NLOS1 and NLOS3, an inverse pairing of LOS2 and LOS2, an inverse pairing of NLOS3 and NLOS4, and an inverse pairing of NLOS4 and NLOS1. Therefore, there is a bidirectional LOS in the system. path.
  • this embodiment can be implemented alone or in combination with other embodiments of the present disclosure.
  • this embodiment may be exemplarily implemented in conjunction with the embodiment shown in FIG. 1 .
  • FIG. 9 is a schematic flowchart of a bidirectional multipath channel modeling method proposed by another embodiment of the present disclosure. As shown in Figure 9, the bidirectional multipath channel modeling method includes:
  • S109 Determine multiple candidate transmission paths that exist between the sensing object and the communication device, and select a candidate transmission path that is opposite to the first transmission path from the multiple candidate transmission paths as the second transmission path for transmitting the second signal. .
  • the candidate transmission paths include: a first candidate transmission path and a third candidate transmission path.
  • the first transmission path is a LOS path, and candidate transmission paths that are opposite to each other are LOS paths.
  • the path identifier of the first transmission path is the same as each other.
  • the path identifiers of candidate transmission paths in the reverse direction are the same.
  • a candidate transmission path that is opposite to the first transmission path is selected from multiple candidate transmission paths as the second transmission path for transmitting the second signal, where the candidate transmission path includes: the first candidate The transmission path and the third candidate transmission path, the first transmission path is a LOS path, and the candidate transmission paths that are opposite to each other are LOS paths, and the path ID of the first transmission path is the same as the path ID of the candidate transmission paths that are opposite to each other.
  • the second signal can be reversely transmitted to the communication device via the first transmission path that transmits the first signal, so that the resulting channel model is suitable for traditional radar systems.
  • Embodiments of the present disclosure also provide a bidirectional multipath channel modeling method.
  • the channel model includes at least one of the following: the total number of paths is K, and each path includes a bidirectional LOS path, where K represents the number of sensing objects. .
  • the LOS path is mainly considered in traditional radar systems, and the energy of the NLOS path is significantly smaller than the energy of the LOS path in the synaesthesia two-way channel modeling, only the LOS path, that is, any one of the BS transmitted signals, can be considered in the synaesthesia system.
  • the path After passing through the sensing target or scatterer (or cluster), the path is directly reflected back to the BS.
  • bidirectional scatterers (or clusters) can be randomly generated, that is, the forward and reverse scatterers (or clusters) are different (for example, normalized delay, power, distance information, angle information, etc.).
  • the NLOS path of the first signal passing through scatterer 1 is NLOS1 and the LOS path is LOS2.
  • the NLOS path passing through scatterer 2 is NLOS3.
  • the NLOS path of body 3 is NLOS4, and the NLOS path of the second signal passing through scatterer 1 is NLOS1 inverse, the LOS path is LOS2 inverse, the NLOS path passing through scatterer 2 is NLOS3 inverse, and the NLOS path passing through scatterer 3 is NLOS4 inverse.
  • LOS1 is paired with LOS1 in reverse phase
  • LOS2 is paired with LOS2 in reverse phase
  • LOS3 is paired with LOS3 in reverse phase
  • LOS4 is paired with LOS4 in reverse phase.
  • the total number of paths is 4, and each path includes a bidirectional LOS path.
  • this embodiment can be implemented alone or in combination with other embodiments of the present disclosure.
  • this embodiment may be exemplarily implemented in conjunction with the embodiment shown in FIG. 1 .
  • FIG. 11 is a schematic flowchart of a bidirectional multipath channel modeling method proposed by another embodiment of the present disclosure.
  • the bidirectional multipath channel modeling method includes:
  • S111 Determine multiple candidate transmission paths existing between the sensing object and the communication device, where the candidate transmission paths include: a first candidate transmission path, a second candidate transmission path, and a third candidate transmission path.
  • S211 Use the first candidate transmission path as the second transmission path for transmitting the second signal, use the second candidate transmission path as the second transmission path for transmitting the second signal, and select the first transmission path to be opposite to each other.
  • the third candidate transmission path is used as the second transmission path for transmitting the second signal.
  • the first candidate transmission path is determined as the second transmission path
  • the second candidate transmission path is determined as the second transmission path
  • the first transmission path is opposite to each other.
  • the third candidate transmission path is determined as the second transmission path.
  • the selection is related to the first transmission path.
  • the third candidate transmission path that is opposite to each other serves as the second transmission path for transmitting the second signal, wherein the candidate transmission path includes: a first candidate transmission path, a second candidate transmission path, and a third candidate transmission path, as shown in
  • the flexibility of the second transmission path used to transmit the second signal can be effectively improved to adapt to personalized application scenarios, and the reliability of the bidirectional multipath channel modeling process can be effectively improved.
  • the embodiment of the present disclosure also provides a bidirectional multipath channel modeling method.
  • the channel model includes at least one of the following: the total number of paths is K 2 +K, the number of paths including unidirectional LOS paths is 2K-1, The number of paths containing bidirectional LOS paths is K, where K represents the number of sensing objects.
  • any path from the BS to the sensing target (the first transmission path)
  • its echo can pass through the LOS path or pass through the NLOS of the scatterer (or cluster) path reflected back to BS.
  • any path of the BS transmitted signal is directly reflected back to the BS after passing through the sensing target or scatterer (or cluster).
  • bidirectional scatterers (or clusters) can be randomly generated, that is, the forward and reverse scatterers (or clusters) are different (for example, normalized delay, power, distance information, angle information, etc.).
  • the pairing information of the first channel and the second channel in this figure can be referred to the pairing information in Figure 4 above. That is to say, for any first transmission path, the corresponding second signal is It can be reflected back to the communication device through any LOS path or NLOS path. In addition, when passing through the sensing object, the first signal can also be directly reflected back to the communication device by the sensing object. Therefore, there is a second transmission as shown in Figure 12 Path LOS1 inverse and LOS3 inverse.
  • this embodiment can be implemented alone or in combination with other embodiments of the present disclosure.
  • this embodiment may be exemplarily implemented in conjunction with the embodiment shown in FIG. 1 .
  • embodiments of the present disclosure also provide a bidirectional multipath channel modeling device, which corresponds to the aforementioned method embodiment.
  • Figure 13 is a schematic structural diagram of a bidirectional multipath channel modeling device proposed by an embodiment of the present disclosure.
  • the bidirectional multipath channel modeling device 130 includes:
  • the first determination module 1301 is used to determine the first transmission path used by the communication device to send the first signal to the sensing object;
  • the second determination module 1302 is used to determine a second transmission path for transmitting a second signal, wherein the first signal is reflected by the sensing object to form a second signal, and the first transmission path and/or the second transmission path are used to establish a channel. Model.
  • the first transmission path includes at least one of the following:
  • Non-line-of-sight transmission NLOS path NLOS path
  • the second transmission path includes at least one of the following:
  • Non-line-of-sight transmission NLOS path NLOS path
  • the second determination module 1302 includes:
  • the first determination sub-module 13021 is used to determine multiple candidate transmission paths that exist between the sensing object and the communication device;
  • the second determination sub-module 13022 is used to determine a second transmission path for transmitting the second signal from a plurality of candidate transmission paths.
  • the sensing object includes at least one of the following:
  • At least one scattering cluster At least one scattering cluster.
  • the candidate transmission path includes at least one of the following: a first candidate transmission path, a second candidate transmission path, and a third candidate transmission path;
  • the first candidate transmission path is the transmission path between the sensing object and the communication device
  • the second candidate transmission path is the transmission path between sensing objects, scatterers or scattering clusters, and communication devices;
  • the third candidate transmission path is the transmission path between the scatterer or scattering cluster and the communication device.
  • the candidate transmission path includes: a first candidate transmission path and a second candidate transmission path; the second determination sub-module 13022 is specifically used for:
  • the first candidate transmission path is used as the second transmission path for transmitting the second signal
  • the second candidate transmission path is used as the second transmission path for transmitting the second signal
  • the channel model includes at least one of the following:
  • the total number of paths is K 2 ;
  • the number of paths containing unidirectional LOS paths is 2K-1;
  • K represents the number of perceived objects.
  • the candidate transmission path includes: a first candidate transmission path and a second candidate transmission path; the second determination sub-module 13022 is specifically used for:
  • a second transmission path for transmitting the second signal is determined from a plurality of candidate transmission paths.
  • the second determination sub-module 13022 is also used to:
  • the paired candidate transmission paths are the LOS path and/or the NLOS path;
  • the paired candidate transmission paths are LOS paths and/or NLOS paths.
  • the channel model includes at least one of the following:
  • the total number of paths is K;
  • the number of paths containing bidirectional LOS paths is 0 or 1;
  • K represents the number of perceived objects.
  • the candidate transmission paths include: a first candidate transmission path and a second candidate transmission path; the second determination sub-module 13022 is also used to:
  • the paired candidate transmission path is the LOS path
  • the paired candidate transmission path is an NLOS path.
  • the channel model includes at least one of the following:
  • the total number of paths is K;
  • the number of paths including the bidirectional LOS path is 1;
  • K represents the number of perceived objects.
  • the candidate transmission paths include: a first candidate transmission path and a third candidate transmission path; the second determination sub-module 13022 is also used to:
  • the first transmission path is the LOS path, and the mutually opposite candidate transmission paths are the LOS path;
  • the path identifier of the first transmission path is the same as the path identifier of the candidate transmission path that is opposite to each other.
  • the channel model includes at least one of the following:
  • the total number of paths is K;
  • Each path contains a bidirectional LOS path
  • K represents the number of perceived objects.
  • the candidate transmission paths include: a first candidate transmission path, a second candidate transmission path, and a third candidate transmission path; the second determination submodule 13022 is also used to:
  • a third candidate transmission path that is opposite to the first transmission path is selected as the second transmission path for transmitting the second signal.
  • the channel model includes at least one of the following:
  • the total number of paths is K 2 +K;
  • the number of paths including one-way LOS paths is 2K-1;
  • the number of paths including bidirectional LOS paths is K;
  • K represents the number of perceived objects.
  • the present disclosure also provides a bidirectional multipath channel modeling device. Since the bidirectional multipath channel modeling device provided by the embodiment of the present disclosure is consistent with The bidirectional multipath channel modeling method provided by the embodiments of Figures 1 to 13 above corresponds to the bidirectional multipath channel modeling method. Therefore, the implementation of the bidirectional multipath channel modeling method is also applicable to the bidirectional multipath channel modeling device provided by the embodiment of the present disclosure. The detailed description will not be given in the embodiments of this disclosure.
  • the second transmission path for transmitting the second signal is determined, wherein the first signal is reflected by the sensing object to form the second signal.
  • the first transmission path and/or the second transmission path are used to establish a channel model, which can effectively combine the relevant information of the first transmission path and/or the second transmission path during the channel model establishment process, thereby effectively improving the channel characteristics of the obtained channel model. description effect.
  • the present disclosure also proposes an electronic device, including: a memory, a processor, and a computer program stored in the memory and executable on the processor.
  • the processor executes the program, the aforementioned embodiments of the present disclosure are implemented. Proposed bidirectional multipath channel modeling method.
  • the present disclosure also proposes a non-transitory computer-readable storage medium on which a computer program is stored.
  • the program is executed by a processor, the bidirectional multipath channel modeling proposed in the previous embodiments of the present disclosure is implemented. method.
  • the present disclosure also proposes a computer program product.
  • the instruction processor in the computer program product is executed, the bidirectional multipath channel modeling method proposed in the previous embodiments of the present disclosure is executed.
  • FIG. 15 illustrates a block diagram of an exemplary electronic device suitable for implementing embodiments of the present disclosure.
  • the electronic device 12 shown in FIG. 15 is only an example and should not bring any limitations to the functions and scope of use of the embodiments of the present disclosure.
  • electronic device 12 is embodied in the form of a general computing device.
  • Components of electronic device 12 may include, but are not limited to: one or more processors or processing units 16, system memory 28, and a bus 18 connecting various system components (including system memory 28 and processing unit 16).
  • Bus 18 represents one or more of several types of bus structures, including a memory bus or memory controller, a peripheral bus, a graphics accelerated port, a processor, or a local bus using any of a variety of bus structures.
  • these architectures include but are not limited to Industry Standard Architecture (hereinafter referred to as: ISA) bus, Micro Channel Architecture (Micro Channel Architecture; hereafter referred to as: MAC) bus, enhanced ISA bus, video electronics Standards Association (Video Electronics Standards Association; hereinafter referred to as: VESA) local bus and Peripheral Component Interconnection (hereinafter referred to as: PCI) bus.
  • ISA Industry Standard Architecture
  • MAC Micro Channel Architecture
  • VESA Video Electronics Standards Association
  • PCI Peripheral Component Interconnection
  • Electronic device 12 typically includes a variety of computer system readable media. These media can be any available media that can be accessed by electronic device 12, including volatile and nonvolatile media, removable and non-removable media.
  • the memory 28 may include computer system readable media in the form of volatile memory, such as random access memory (Random Access Memory; hereinafter referred to as: RAM) 30 and/or cache memory 32.
  • Electronic device 12 may further include other removable/non-removable, volatile/non-volatile computer system storage media.
  • storage system 34 may be used to read and write to non-removable, non-volatile magnetic media (not shown in Figure 15, commonly referred to as a "hard drive").
  • a disk drive for reading and writing a removable non-volatile disk e.g., a "floppy disk"
  • a removable non-volatile optical disk e.g., a compact disk read-only memory
  • CD-ROM Disc Read Only Memory
  • DVD-ROM Digital Video Disc Read Only Memory
  • each drive may be connected to bus 18 through one or more data media interfaces.
  • Memory 28 may include at least one program product having a set (eg, at least one) of program modules configured to perform the functions of embodiments of the present disclosure.
  • a program/utility 40 having a set of (at least one) program modules 42 may be stored, for example, in memory 28 , each of these examples or some combination may include the implementation of a network environment.
  • Program modules 42 generally perform functions and/or methods in the embodiments described in this disclosure.
  • Electronic device 12 may also communicate with one or more external devices 14 (e.g., keyboard, pointing device, display 24, etc.), may also communicate with one or more devices that enable a user to interact with electronic device 12, and/or with Any device (eg, network card, modem, etc.) that enables the electronic device 12 to communicate with one or more other computing devices. This communication may occur through input/output (I/O) interface 22.
  • the electronic device 12 can also communicate with one or more networks (such as a local area network (Local Area Network; hereinafter referred to as: LAN), a wide area network (Wide Area Network; hereinafter referred to as: WAN)) and/or a public network, such as the Internet, through the network adapter 20 ) communication.
  • networks such as a local area network (Local Area Network; hereinafter referred to as: LAN), a wide area network (Wide Area Network; hereinafter referred to as: WAN)
  • a public network such as the Internet
  • network adapter 20 communicates with other modules of electronic device 12 via bus 18 .
  • other hardware and/or software modules may be used in conjunction with electronic device 12, including but not limited to: microcode, device drivers, redundant processing units, external disk drive arrays, RAID systems, tape drives And data backup storage system, etc.
  • the processing unit 16 executes programs stored in the system memory 28 to perform various functional applications and data processing, such as implementing the bidirectional multipath channel modeling method mentioned in the foregoing embodiments.
  • various parts of the present disclosure may be implemented in hardware, software, firmware, or combinations thereof.
  • various steps or methods may be implemented in software or firmware stored in a memory and executed by a suitable instruction execution system.
  • a logic gate circuit with a logic gate circuit for implementing a logic function on a data signal.
  • Discrete logic circuits application specific integrated circuits with suitable combinational logic gates, programmable gate arrays (PGA), field programmable gate arrays (FPGA), etc.
  • the program can be stored in a computer-readable storage medium.
  • the program can be stored in a computer-readable storage medium.
  • each functional unit in various embodiments of the present disclosure can be integrated in a processing module, or each unit can exist physically alone, or two or more units can be integrated in one module.
  • the above integrated modules can be implemented in the form of hardware or software function modules. If the integrated module is implemented in the form of a software function module and sold or used as an independent product, it can also be stored in a computer-readable storage medium.
  • the storage media mentioned above can be read-only memory, magnetic disks or optical disks, etc.

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Abstract

La présente invention concerne un procédé et un appareil de modélisation bidirectionnelle de canal à trajets multiples, et un dispositif. Le procédé consiste à : déterminer un premier trajet de transmission utilisé par un dispositif de communication pour transmettre un premier signal à un objet de détection, et déterminer un second trajet de transmission utilisé pour transmettre un second signal, le premier signal étant réfléchi par l'objet de détection pour former le second signal, et le premier trajet de transmission et/ou le second trajet de transmission étant utilisés pour établir un modèle de canal. Au moyen de la présente invention, des informations associées du premier trajet de transmission et/ou du second trajet de transmission peuvent être combinées efficacement dans le processus d'établissement de modèle de canal, ce qui permet d'améliorer efficacement l'effet de description du modèle de canal obtenu sur des caractéristiques de canal.
PCT/CN2022/110703 2022-08-05 2022-08-05 Procédé et appareil de modélisation de canal à trajets multiples bidirectionnels, dispositif et support de stockage WO2024026884A1 (fr)

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CN202280002555.2A CN117859275A (zh) 2022-08-05 2022-08-05 双向多径信道建模方法、装置、设备及存储介质

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