KR102524100B1 - Wideband signal monitoring method and apparatus using fast Fourier transform - Google Patents

Abstract

It relates to a technology for selectively storing or transmitting important signals in a device that monitors/analyzes wireless signals and recovering the corresponding signals. A method of a wideband signal monitoring apparatus according to the present invention, comprising: receiving a stream signal of a radio frequency band; converting the stream signal into a wideband spectral signal using fast Fourier transform; Checking masking information; generating a reduced spectrum signal and masking section data by masking the wideband spectrum signal based on the masking information; It may include transmitting the reduced spectrum signal and the masking interval data. According to the above-described embodiment of the present invention, the capacity of the stored or transmitted signal is reduced by storing or transmitting the signal except for unnecessary data in the frequency spectrum. Since the signal that has undergone the FFT process is stored or transmitted, it is possible to check the spectrum information of the signal band from the stored or received signal without additional FFT process.

Description

Wideband signal monitoring method and apparatus using fast Fourier transform

Embodiments of the present specification relate to a method and apparatus for storing and restoring wideband signal surveillance data using wideband fast Fourier transform, which stores or transmits wideband data collected by an electronic warfare or radio surveillance field signal collection device. It relates to a technique of deleting unnecessary data and restoring it after reception.

Recently, wireless communication device technology in the private sector has been developed, and various communication signals using it are active, so monitoring and control on them is necessary. In addition, in the field of electronic warfare, the importance of monitoring the enemy's communication activities and analyzing the communication contents is increasing.

In order to monitor radio wave signals, signals can be collected remotely from various places, and the signals collected remotely can be moved to a central processing facility and analyzed for the corresponding signals. To this end, the signals collected at the remote collection point can be transmitted to the central processing facility in an online method using wired/wireless communication or an offline method through a storage medium.

In particular, in order to analyze the latest high-speed wireless communication and broadband hopping signals, it is necessary to collect/analyze broadband signals, and for this purpose, high-speed storage and transmission devices are required. In general, in order to store a wideband signal, a high-speed ADC is used to sample the signal, and I/Q data converted to baseband is stored in a storage medium and transmitted. While high-speed signal sampling and the process of converting it into I/Q data have been developed with devices capable of processing a bandwidth of several GHz, the technology for storing and transmitting I/Q data in real time has not yet been developed. The situation is not up to speed

Therefore, since processing delay time is excessively consumed to compress and store I/Q data received as a high-speed stream in real time, a signal processing technology that can efficiently reduce data to store and transmit broadband signals to a storage medium is required. do.

The embodiment of the present specification is proposed to solve the above-mentioned problem, and in storing and transmitting a broadband signal in a storage medium, data is reduced and transmitted to compensate for the low speed of the storage medium and transmission medium, and then the data is stored. It's about restoring technology.

To achieve the above object, a method of a signal monitoring apparatus according to an embodiment of the present specification includes receiving a stream signal of a radio frequency band; converting the stream signal into a wideband spectrum signal using fast Fourier transform; Checking masking information; based on the masking information, generating a reduced spectrum signal by masking a part of the wideband spectrum signal and generating section data corresponding to the masking information; and transmitting section data corresponding to the reduced spectrum signal and the masking information.

In order to achieve another object described above, a method of a monitoring data analysis apparatus according to an embodiment of the present specification includes: receiving a reduced spectrum signal and masking section data; Checking masking section data; restoring a wideband spectrum based on the reduced spectrum signal and the masking interval data; and converting the broadband spectrum into stream data using inverse fast Fourier transform.

In order to achieve the above object, a signal monitoring apparatus according to an embodiment of the present specification includes a transceiver for receiving a broadband wireless signal and transmitting a spectrum signal generated by processing the broadband wireless signal to an analysis device; and converting a stream signal of a radio frequency band into a wideband spectrum signal by using fast Fourier transform, identifying masking information, and masking a part of the wideband spectrum signal based on the masking information to obtain a reduced spectrum signal. and a controller for generating, generating masking interval data corresponding to the masking information, and controlling transmission of the masking interval data corresponding to the reduced spectrum signal and the masking information.

Monitoring data analysis device according to an embodiment of the present specification to achieve another object described above is a transceiver for receiving a signal to analyze the signal; and receiving a reduced spectrum signal and masking interval data, verifying the masking interval data, recovering a wideband spectrum based on the reduced spectrum signal and the masking interval data, and converting the wideband spectrum into stream data using inverse fast Fourier transform. It is characterized in that it includes a controller that controls to convert.

According to an embodiment of the present invention, the capacity of the stored or transmitted signal can be reduced by storing or transmitting signals excluding unnecessary data in the frequency spectrum.

According to an embodiment of the present invention, since a signal that has undergone an FFT process is stored or transmitted, it is possible to check spectrum information of a signal band from a stored or received signal without an additional FFT process.

According to the embodiment of the present invention, even when signals of the same reception bandwidth are stored, the data size is reduced by removing unnecessary parts from the FFT result, so that the storage speed can be set low, thereby reducing the difficulty of designing and implementing the system. The signal can be stored in real time using a storage medium of

According to an embodiment of the present invention, since the size of data is reduced, it is possible to transmit data in a short time even in real-time long-distance data transmission, thereby reducing the occupancy rate of wired networks and wireless networks such as data links.

The effects of the embodiments are not limited to the effects mentioned above, and other effects not mentioned will be clearly understood by those skilled in the art from the description of the claims.

1 shows a system related to a monitoring device according to an embodiment of the present invention.
2 shows a spectrum signal of a reception band including a band of interest and a band of indifference according to an embodiment of the present invention.
3 shows a spectrum signal obtained by performing masking on a spectrum signal of a reception band according to an embodiment of the present invention.
4 illustrates a case in which a section of a masking area according to an embodiment of the present invention is expressed in binary bits.
5 illustrates a case in which a section of a masking area according to an embodiment of the present invention is expressed as a table.
6 is a flowchart illustrating the operation of a monitoring device according to an embodiment of the present invention.
7 is a flowchart illustrating the operation of an analysis device according to an embodiment of the present invention.
8 is a block diagram showing a block configuration of a monitoring device according to an embodiment of the present invention.
9 is a block diagram showing a block configuration of an analysis device according to an embodiment of the present invention.

Hereinafter, the operating principle of the present disclosure will be described in detail with reference to the accompanying drawings. In the following description of the present disclosure, if it is determined that a detailed description of a related known function or configuration may unnecessarily obscure the subject matter of the present disclosure, the detailed description will be omitted. In addition, terms to be described later are terms defined in consideration of functions in the present disclosure, which may vary according to intentions or customs of users or operators. Therefore, the definition should be made based on the contents throughout this specification.

Advantages and features of the present disclosure, and methods for achieving them, will become clear with reference to embodiments described below in detail in conjunction with the accompanying drawings. However, the present disclosure is not limited to the embodiments disclosed below and may be implemented in various different forms, only the present embodiments make the disclosure of the present disclosure complete, and the common knowledge in the art to which the present disclosure belongs It is provided to fully inform the holder of the scope of the invention, and the present disclosure is only defined by the scope of the claims. Like reference numbers designate like elements throughout the specification.

At this time, it will be understood that each block of the process flow chart diagrams and combinations of the flow chart diagrams can be performed by computer program instructions. These computer program instructions may be embodied in a processor of a general purpose computer, special purpose computer, or other programmable data processing device, so that the instructions executed by the processor of the computer or other programmable data processing device are described in the flowchart block(s). It creates means to perform functions. These computer program instructions may also be stored in a computer usable or computer readable memory that can be directed to a computer or other programmable data processing device to implement functionality in a particular way, such that the computer usable or computer readable memory The instructions stored in are also capable of producing an article of manufacture containing instruction means that perform the functions described in the flowchart block(s). Since the computer program instructions can also be loaded on a computer or other programmable data processing device, a series of operational steps are performed on the computer or other programmable data processing device to create a computer-executed process, thereby generating a computer or other programmable data processing device. The instructions for performing the processing device may also provide steps for performing the functions described in the flowchart block(s).

Additionally, each block may represent a module, segment, or portion of code that includes one or more executable instructions for executing specified logical function(s). It should also be noted that in some alternative implementations it is possible for the functions mentioned in the blocks to occur out of order. For example, it is possible that two blocks shown in succession may in fact be performed substantially concurrently, or that the blocks may sometimes be performed in reverse order depending on their function.

At this time, the term '~unit' used in this embodiment means a software or hardware component, and '~unit' performs certain roles. However, '~ part' is not limited to software or hardware. '~bu' may be configured to be in an addressable storage medium and may be configured to reproduce one or more processors. Therefore, as an example, '~unit' refers to components such as software components, object-oriented software components, class components, and task components, processes, functions, properties, and procedures. , subroutines, segments of program code, drivers, firmware, microcode, circuitry, data, databases, data structures, tables, arrays, and variables. Functions provided within components and '~units' may be combined into smaller numbers of components and '~units' or further separated into additional components and '~units'. In addition, components and '~units' may be implemented to play one or more CPUs in a device or a secure multimedia card. Also, in the embodiment, '~ unit' may include one or more processors.

In the following description of the present disclosure, if it is determined that a detailed description of a related known function or configuration may unnecessarily obscure the gist of the present disclosure, the detailed description will be omitted.

The signal monitoring apparatus according to the present invention can reduce the size of a stored or transmitted signal by receiving and masking a signal to monitor a wide bandwidth signal and storing or transmitting the signal except for unnecessary data.

The signal analysis apparatus according to the present invention may monitor a stream signal of a band of interest by receiving or receiving masked spectrum data together with masking information.

1 shows a system related to a monitoring device according to an embodiment of the present invention.

Referring to FIG. 1 , the signal monitoring system may include a signal monitoring device 110 that receives a stream signal and a signal analysis device 120 that analyzes and processes the received signal in order to monitor the stream signal.

The signal monitoring device 110 may receive signals of the monitoring band using the receiving antenna 111 to collect radio signals. At this time, the RF receiving/frequency conversion unit 112 may lower the frequency band to a low frequency in order to convert the signal of the high frequency band into a low frequency suitable for signal processing. The digital conversion unit 113 may convert the changed signal into digital. The fast Fourier transform (FFT) processing unit 114 may apply fast Fourier transform to change the stream signal into a spectrum signal in order to monitor the activity state of the signal.

At this time, the spectrum of the signal may include a frequency band that does not have a signal or does not need to be monitored or an indifferent band, and may include a frequency band or a band of interest that needs to be stored for later detailed analysis or transmitted using wired/wireless communication. . In order to precisely analyze the contents of the signal in the band of interest, it is necessary to observe the modulation of the signal that changes over time and to restore the data carried in the signal. However, when the stream data of the time axis transmitted from the digital conversion unit prior to FFT is stored as it is, it is difficult to effectively reduce the size of the data because unnecessary data is included because it includes signals of both the band of interest and the band of interest. In addition, even if the indifferent band is removed from the stream data using a filter, the size of the data cannot be reduced unless the sampling rate of the data is reduced.

In order to reduce the size of stream data to be stored or transmitted, there may be a method of reducing the reception bandwidth of the receiver and reducing the sampling rate of stream data by using decimation. Since the receiving bandwidth cannot be reduced, the sampling rate cannot be reduced.

In this case, when the indifferent region is masked, the size of data can be reduced if only the signal of interest is selectively stored or transmitted excluding the signal of interest. In stream data, signals in an indifferent area cannot be easily deleted.

Accordingly, the FFT processing unit 114 may apply fast Fourier transform to change the stream signal into a spectrum signal in order to monitor the activity state of the signal. Thereafter, the masking unit 115 may delete the data of the masked frequency band (band of interest) from the data of the spectrum domain, which is the result of fast Fourier transforming the stream signal, and generate reduced spectrum data and information related to masking.

Thereafter, the reduced spectrum data and masking-related information may be stored in the data storage device 116 or transmitted using the data transmission device 117 through wireless communication 113 or wired communication 132 using an antenna.

The signal analysis device 120 for receiving or transmitting the reduced spectrum data and masking-related information and precisely analyzing the contents of the signal receives data through wireless communication using an antenna 127 or wired communication 132 Data can be received using Alternatively, data of a signal may be received by receiving data 131 based on a data storage medium offline. Data received in the communication method can be converted into digital data using the data receiving device 125, and data can be read from the storage medium transmitted offline using the data reading device 126. The masking recovery unit 124 may recover spectrum data based on the received reduced spectrum data and masking-related information. Since it is continuous spectrum data rather than stream data that changes on a time axis, it is possible to demonstrate the activity state of a signal existing in a frequency band without a separate FFT process by directly displaying it to the user. When precise analysis of a signal is required, the user may change spectrum data in the frequency domain to stream data in the time domain based on the inverse fast Fourier transform (IFFT) processing unit 122 . Then, the data stream analyzer 121 can analyze the modulation type and content of the stream data.

2 shows spectrum signals of a reception band including a band of interest and a band of indifference according to an embodiment of the present invention.

In detail, an example of a state in which a band of interest and a band of indifference coexist in a spectrum of a received frequency band is shown.

An indifferent band according to an embodiment of the present invention may mean a section in which signal storage and signal analysis are not required or a section in which monitoring is unnecessary. For example, it may mean the skirt bands 211 and 217, the pre-analyzed signal region 213, and the non-signal frequency band 215, and the user can set an indifferent band.

In addition, the interest bands 201, 203, and 205 according to an embodiment of the present invention may mean a section requiring signal storage and signal analysis or a section requiring monitoring.

When a stream data signal obtained by sampling a signal in a reception frequency band is converted into a frequency domain and the spectral configuration thereof is considered as an example, the skirt bands 211 and 217 are both ends of the frequency spectrum data. The skirt bands 211 and 217 are areas included in signal stream data to solve an aliasing problem that may occur during digital sampling. The skirt bands 211 and 217 are areas where frequency band monitoring or analysis is unnecessary, and generally occupy about 20% of the reception frequency area. The pre-analyzed signal area 213 is an area that does not require separate storage or additional analysis if the analysis has already been completed and the contents are known among the signals within the reception band received for monitoring. The no-signal frequency band 215 may mean a region without a signal within a reception band.

When stream data on the time axis for signal monitoring is stored, all signal components of an indifferent band are also stored, resulting in an unnecessarily increased data size. While high-speed signal sampling and the process of converting it into I/Q data have been developed with devices capable of processing a bandwidth of several GHz, the technology for storing and transmitting I/Q data in real time has not yet been developed. not reaching speed. Therefore, there is a need for a method capable of selectively storing only the signals of the interest bands 201, 203, and 205 from which signal components that do not need to be stored are removed.

3 shows a spectrum signal obtained by performing masking on a spectrum signal of a reception band according to an embodiment of the present invention.

In FIG. 3, the method of storing only the signal of the frequency band of interest described above is shown using the example of the spectrum of the frequency band of FIG. 2. Data masking (311, 313, 315, 317) can be performed on all signals of indifferent bands, such as the skirt bands 211 and 217, the pre-analyzed signal region 213, and the non-signal frequency band 215, or all can be deleted. Among monitoring signals, data masking (311, 313, 315, 317) may be performed, and only signals of interest bands (301, 303, 305) may be stored or transmitted.

Data masking (311, 313, 315, 317) processed, deleted, and stored data may mean complex number output data of the FFT of the corresponding frequency band, not data displayed on the monitoring screen. This is because the spectral data displayed on the screen is obtained by extracting only the size value of the data to visually express the complex number output data of the FFT, and thus the original stream signal of the band of interest cannot be restored even if the IFFT is used to store it.

In this way, data of indifferent bands such as the skirt bands 211 and 217, the previously analyzed signal region 213, and the non-signal frequency band 215 are deleted from the spectrum data, and only the data of the interest bands 301, 303, and 305 are removed. The storage box reduces the capacity of data required for storage or transmission. In addition, since the noise data of the indifferent band is deleted together, an effect of reducing overall noise in the signal converted to stream data using the FFT result stored later can be obtained together. At this time, when storing the signal of the band of interest among the FFT results, it is necessary to consider the number of effective bits of the stored data. When data is converted into a frequency domain using FFT, the number of valid output bits of each FFT bin increases due to a processing gain, and the increased number of effective bits causes an increase in data capacity. Therefore, it is necessary to cut the FFT output value into data of an appropriate number of bits for storage/transmission at a level without data loss. When stream data of a size larger than necessary is collected and FFT is simultaneously processed, signals of effective components may be omitted when reducing the number of FFT output bits, which may cause signal saturation. The dynamic range and the signal processing gain of the FFT should be considered at the same time.

4 illustrates a case in which a section of a masking area according to an embodiment of the present invention is expressed in binary bits.

4 shows the masking section applied to the spectrum data during storage or transmission as 0 or 1 in the section corresponding to the FFT bin, so that the device receiving the data can recover the spectrum of the signal. For example, when data is converted into a spectrum using a 2048-point FFT and masking is performed when storing data, the masking interval of the spectrum data is expressed as 0 or 1 using 2048-bit data.

For example, in order to display the data masking 311 section applied to the spectrum data, the section 401 where data masking starts and the section 401 where data masking ends is expressed as 0 using the masking section applied to the spectrum data as 0 By doing so, the data masking 311 section applied to the spectrum data can be displayed.

A device that receives and analyzes data may restore spectrum information on a band of interest through zero padding. Alternatively, in the monitoring signal, the signal of indifference may be restored to masked or deleted data. For example, spectrum information of the band of interest is obtained by receiving masking interval information together with data of the band of interest, arranging the received data of the band of interest in an unmasked FFT frequency bin, and arranging 0 in the masked FFT frequency bin. can be recovered The spectrum data recovered in this way can be converted into stream data by applying IFFT, and stream data can also be analyzed by a data analysis device.

5 illustrates a case in which a section of a masking area according to an embodiment of the present invention is expressed as a table.

5 shows masked FFT spectrum section information using FFT bin numbers as an example of representing a section masked in another method. For example, if all of the 0th bin to the 1234th bin of the FFT result spectrum are masked and the data is deleted, enter 0000 as the start index value and 1234 as the end index value in the masking information of the masking table 500 and receive the data The data size required for masking can be reduced by passing it together to the device that handles it. Specifically, in the case of a monitoring device, a wideband frequency is continuously monitored and indexing can be performed on the entire monitoring band. Accordingly, when table information is previously shared between a device for monitoring and storing a signal or transmitting to an analysis device and a signal analysis device, masking section information may be displayed as an index number.

When the part to be masked in the signal spectrum is simple, the method of using the start and end index numbers of the masking section can be more effective than the transmission of masking information using bits as shown in FIG. 4 .

6 is a flowchart illustrating the operation of a monitoring device according to an embodiment of the present invention.

Referring to FIG. 6, an operation of storing and transmitting a broadband signal in a storage medium through an operation of a device that collects, stores, or transmits radio signals is shown.

In step S610, the broadband signal monitoring apparatus may monitor a wireless signal of a wideband or surveillance band. The wideband signal monitoring apparatus may receive the stream signal of the monitoring band radio frequency band in step S620. At this time, the broadband signal monitoring device may convert the signal into digital. In step S630, the broadband signal monitoring apparatus may convert the stream signal into a spectrum signal by applying fast Fourier transform to monitor the activity status of the signal.

The broadband signal monitoring apparatus may identify a band of interest and a band of interest in the wideband spectrum in step S640. Alternatively, masking information may be checked. Specifically, the indifferent band may mean a section in which signal storage and signal analysis are not required or a section in which monitoring is unnecessary. For example, it may mean a skirt band, a pre-analyzed signal region, and a non-signal frequency band, and the user can set an indifferent band. Also, the band of interest may mean a section requiring signal storage and signal analysis or a section requiring monitoring. The information about the indifferent band may be masking information.

In addition, the wideband signal monitoring apparatus may perform spectrum masking on the uninteresting band or delete information on the uninteresting band in step S640. All of the signals in the indifferent band, such as the pre-analyzed signal area and the non-signal frequency band, may be processed for data masking or all may be deleted. Masking-related data and a reduced spectrum may be generated in order to restore a spectrum signal that is masked later and reduced. Specifically, the masking-related data may be masking section information or masking section data.

By expressing the masking interval applied to the reduced spectrum data as 0 or 1 in the interval corresponding to the FFT bin, a device receiving data can recover the spectrum of the signal. For example, when data is converted into a spectrum using a 2048-point FFT and masking is performed when storing data, the masking interval of the spectrum data can be expressed as 0 or 1 using 2048-bit data.

Alternatively, the masked FFT spectrum interval data is displayed using FFT bin numbers. For example, if all of the 0th bin to the 1234th bin of the FFT result spectrum are masked and the data is deleted, 0000 as the start index value and 1234 as the end index value are written in the masking interval data of the masking table 500, and the data It can be passed along to the receiving device to reduce the size of data required for masking. Specifically, in the case of a monitoring device, a wideband frequency is continuously monitored and indexing can be performed on the entire monitoring band. Accordingly, when table information is previously shared between a device for monitoring and storing or transmitting a signal to an analysis device and a signal analysis device, masking section data may be displayed as an index number.

The broadband signal monitoring device may store section data related to the reduced spectrum and masking data in step S650 or transmit section data related to the reduced spectrum and masking data to the monitoring signal analysis device through wire/wireless communication.

7 is a flowchart illustrating the operation of an analysis device according to an embodiment of the present invention.

Referring to FIG. 7, in step S710, the signal analysis device receives data in which section data related to the reduced spectrum and masking data is stored, or from the broadband signal monitoring device via wire/wireless. Receives section data related to the reduced spectrum and masking data can receive

The signal analysis apparatus may perform analysis on the reduced spectrum in step S720. At this time, only the reduced spectrum can be analyzed, and it can be checked whether analysis of the broadband spectrum is necessary.

In step S730, the signal analysis apparatus may recover the wideband spectrum based on the reduced spectrum and the section data related to the masking data.

Specifically, when the masking interval applied to the reduced spectrum data is expressed as 0 or 1 in the interval corresponding to the FFT bin, for example, using 2048-bit data, the masking interval data of the spectrum data is received as 0 or 1, and 2048 point FFT By performing zero padding using , the reduced spectrum can be restored to the masked wideband spectrum.

Alternatively, if the masking interval data is displayed using a masking table, for example, if all of the 0th to 1234th bins of the spectrum are masked and the data is deleted, 0000 is added as the start index value to the end index in the masking information of the masking table. Data specifying 1234 as a value is received, corresponding masking interval data is checked based on the masking table, and zero padding is performed to restore the reduced spectrum to the masked wideband spectrum.

In step S740, the signal analysis apparatus may obtain a stream signal for a band of interest by performing inverse fast Fourier transform on the data recovered with the masked wideband spectrum. Thereafter, the signal analysis device may analyze the stream signal in step S750.

8 is a block diagram showing a block configuration of a monitoring device according to an embodiment of the present invention.

The signal monitoring device 810 includes an RF reception/frequency conversion unit 812, a digital conversion unit 813, an FFT processing unit 814, a masking unit 815, a data storage unit 816, and a data transmission unit 817. Although shown as being constituted by, it is not necessarily limited thereto.

For example, the RF reception/frequency conversion unit 812, the digital conversion unit 813, the FFT processing unit 814, the masking unit 815, and the data storage unit 816 may be controlled by one control unit, respectively. It may exist as one physically independent component.

In addition, the data transmission unit 817 and the transmission and reception antennas 811 and 818 may operate as one transmission and reception unit.

The transmitting/receiving unit may transmit a wireless/wired reduced spectrum signal and masking interval data or receive a monitoring signal.

The control unit or controller may control the overall operation of the monitoring device according to the embodiment proposed in the present invention. For example, it can be controlled to monitor wireless signals in a wideband or monitoring band. It can be controlled to receive a stream signal of a monitoring band radio frequency band. It can be controlled to convert the signal to digital. In order to monitor the activity of the signal, the stream signal can be controlled to be converted into a spectrum signal by applying fast Fourier transform. Bands of indifference and bands of interest can be identified in the broadband spectrum. Alternatively, it can be controlled to check the masking area. Control may be performed to store section data related to the reduced spectrum and masking data or to transmit section data related to the reduced spectrum and masking data to the surveillance signal analysis device through wire/wireless communication.

9 is a block diagram showing a block configuration of an analysis device according to an embodiment of the present invention.

The signal analysis device 920 is composed of a data stream analysis unit 921, an IFFT processing unit 922, a masking recovery unit 923, a spectrum checking unit 924, a data receiving unit 925, and a data reading unit 926. Although shown as being, it is not necessarily limited thereto.

For example, in the signal analysis device 920, a data stream analysis unit 921, an IFFT processing unit 922, a masking recovery unit 923, a spectrum checking unit 924, and a data reading unit 926 are controlled by a single control unit. It can be, and each can exist as one physically independent component.

In addition, the data receiving unit 925 and the receiving antenna 927 may operate as one transmitting and receiving unit.

The transmitting/receiving unit may transmit a wireless/wired signal or receive a reduced spectrum signal and masking interval data.

The control unit or controller may control the overall operation of the analysis device according to the embodiment proposed by the present invention.

For example, the control unit may control to receive data in which section data related to the reduced spectrum and masking data is stored, or to receive section data related to the reduced spectrum and masking data from a wideband signal monitoring device through wire/wireless communication. Analysis can be performed on the reduced spectrum. At this time, it can be controlled to analyze only the reduced spectrum. It can be controlled to determine if an analysis of the broadband spectrum is required. Analysis of a broadband spectrum is required or When analysis of the stream signal related to the reduced spectrum is required, the wideband spectrum may be controlled to be restored based on the reduced spectrum and section data related to masking data. It may be controlled to obtain a stream signal for a band of interest by performing fast Fourier inverse transform on the data recovered with the masked wideband spectrum. After that, it can be controlled to analyze the stream signal.

According to the above-described embodiment of the present invention, since signals are stored or transmitted except for unnecessary data in the frequency spectrum, the capacity of the stored or transmitted signals is reduced, and signals that have undergone the FFT process are stored or transmitted, so that the stored or received signals are stored or transmitted. The spectral information of the signal band can be confirmed without additional FFT process, and even when the signal of the same reception bandwidth is saved, the data size is reduced by removing unnecessary parts from the FFT result, so the storage speed can be set low, making it difficult to design and implement the system. can be lowered, and the signal can be stored in real time using a low-speed storage medium.

In addition, since the size of data is reduced, data can be transmitted in a short time even in real-time long-distance data transmission, thereby reducing the occupancy of wired networks and wireless networks such as data links.

Claims (9)

In the method of a monitoring device for monitoring a broadband radio frequency,
Receiving a stream signal of a radio frequency band to be monitored;
converting the stream signal into a wideband spectral signal using fast Fourier transform;
obtaining masking information indicating an indifferent band;
deleting a signal corresponding to an indifferent band from the wideband spectrum signal and generating a reduced spectrum signal based on the masking information;
generating section data corresponding to the masking information; and
and transmitting the section data corresponding to the reduced spectrum signal and the masking information to a monitoring data analysis device. According to claim 1,
The masking information includes at least one of skirt band information and monitoring completed band information. According to claim 1,
The interval data is represented by bits based on a preset frequency interval,
Among the wideband spectrum signals, a masked frequency interval is represented by a bit having a first logic value;
The method of the monitoring device, characterized in that the non-masked frequency interval of the wideband spectrum signal is represented by a bit having a second logic value. According to claim 1,
The interval data includes a start index value and an end index value of each of a plurality of masking frequency intervals. In the method of the monitoring data analysis device,
Receiving section data corresponding to a reduced spectrum signal and masking information from a monitoring device;
checking the section data;
restoring a broadband spectrum signal from which a signal corresponding to an indifferent band is excluded, based on the reduced spectrum signal and the interval data; and
The method of the surveillance data analysis apparatus comprising the step of converting the wideband spectrum signal into stream data using inverse fast Fourier transform. According to claim 5,
The interval data is represented by bits based on a preset frequency interval,
Among the wideband spectrum signals, a masked frequency interval is represented by a bit having a first logic value;
The method of the surveillance data analysis apparatus, characterized in that the non-masked frequency interval of the wideband spectrum signal is represented by a bit having a second logic value. According to claim 5,
The interval data includes a start index value and an end index value of each of a plurality of masking frequency intervals. a transceiver for receiving a broadband radio signal and transmitting a spectrum signal generated by processing the broadband radio signal to a monitoring data analysis device; and
Receiving a stream signal of a radio frequency band, converting the stream signal into a wideband spectrum signal using fast Fourier transform, obtaining masking information indicating an indifferent band, and based on the masking information, in the wideband spectrum signal Control to delete a signal corresponding to an indifferent band, generate a reduced spectrum signal, generate section data corresponding to the masking information, and transmit the reduced spectrum signal and section data corresponding to the masking information to a monitoring data analysis device A monitoring device comprising a controller. a transceiver for receiving section data corresponding to the reduced spectrum signal and masking information from the monitoring device; and
Receiving a reduced spectrum signal and section data corresponding to masking information from a monitoring device, checking the section data, and obtaining a wideband spectrum signal from which a signal corresponding to an indifferent band is excluded based on the reduced spectrum signal and the section data and a controller for controlling recovery and converting the broadband spectrum signal into stream data using inverse fast Fourier transform.

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