CN103888196B - Bidirectional mobile communication environmental simulation system - Google Patents

Abstract

The invention provides a two-way mobile communication environment simulation system. According to the system of the present invention, the main control unit determines the fading condition parameters of the uplink/downlink channel environment based on the obtained model parameters for simulating the spatial channel environment, and configures parameters based on the obtained uplink/downlink subframes And the frame synchronization signal from the external input generates a control command for switching the channel environment simulation. Under the control of the control command, the system receives multiple input signals from the corresponding channel through the input interface for processing, and will provide corresponding The complex baseband signal is output to the multi-antenna wireless environment simulation unit, which generates independent multipath fading coefficients based on the fading condition parameters, and performs channel environment fading on the complex baseband signals provided by the input interface based on the multipath fading coefficients Simulate to obtain the complex baseband signal after fading, and output the baseband signal to the corresponding channel after processing the multiple baseband signals through the output interface.

Description

Two-way mobile communication environment simulation system

technical field

The invention relates to a channel simulation system in the communication field, in particular to a multi-antenna two-way mobile communication environment simulation system.

Background technique

In recent years, the rapid growth of mobile broadband wireless communication services has put forward higher requirements on the performance of wireless communication systems. The new generation of wireless communication system introduces a series of new technologies to obtain higher system performance, and also makes the research of wireless channel very different from that of traditional wireless communication system.

The performance of the broadband wireless communication system largely depends on the fading characteristics of the wireless channel, so the research on the radio wave propagation characteristics becomes the basis and key point of the communication system design. Knowing the real channel characteristics and establishing a reasonable and accurate wireless channel model will play a great guiding role in designing efficient and broadband wireless communication systems, designing reasonable signal processing algorithms, and network optimization.

The next-generation mobile communication network faces challenges in many aspects such as broadband, high spectral efficiency, low delay, environmental protection and energy saving. A deep understanding and modeling of wireless mobile channels is a prerequisite for the design of broadband mobile communication systems. In the design and development process of the actual communication system, it is necessary to consider the characteristics of the wireless channel as early as possible. At present, software is used for channel simulation. However, limited to the processing speed and storage capacity of the computer, this simulation method is limited to a single channel, and is extremely time-consuming, and can only be applied in the early design stage of the system. The simulation environment such as real-time debugging cannot be provided for the simulation of the real-time mobile environment in the design process of the whole system. Therefore, it is necessary to improve the existing channel simulation system.

Contents of the invention

In view of the above-mentioned shortcomings of the prior art, the purpose of the present invention is to provide a two-way mobile communication environment simulation system, which is used to solve the problem that the channel simulation system in the prior art cannot provide a more realistic multi-channel wireless channel environment.

In order to achieve the above object and other related objects, the present invention provides a two-way mobile communication environment simulation system, which at least includes: a main control unit, which is used to determine the corresponding The fading condition parameters of the uplink/downlink channel environment, and based on the acquired uplink/downlink subframe configuration parameters and the frame synchronization signal from the external input, generate a control command for switching the uplink/downlink channel environment simulation, and based on the frame The synchronization signal adjusts the synchronization timing in the analog system; the input interface for accessing the uplink/downlink channel is used to receive and process multiple uplink/downlink input signals from corresponding uplink/downlink channels based on the control command, so as to provide corresponding The uplink/downlink complex baseband signal; the multi-antenna wireless environment simulation unit is used to generate independent multipath fading coefficients based on the fading condition parameters under the control of the control instructions, and based on the multipath fading coefficients. The uplink/downlink complex baseband signal provided by the above-mentioned input interface is used to simulate the fading of the channel environment to obtain the uplink/downlink complex baseband signal after fading; the output interface connected to the uplink/downlink channel is used to transfer multiple channels based on the control instruction The uplink/downlink baseband signals are processed and then output to corresponding uplink/downlink channels.

Preferably, the main control unit is further configured to generate forms of different structures according to the types of the generated fading condition parameters, and provide corresponding forms to the multi-antenna wireless environment simulation unit according to the control instruction.

Preferably, the multi-antenna wireless environment simulation unit includes: an independent fading coefficient generation module, which is used to sequentially generate fading coefficients in a time-division multiplexing manner under the control of the main control unit at a sampling rate lower than the input signal The normalized time-varying fading coefficients of each path used to simulate the channel environment, wherein the time-varying fading coefficients of each path are independent of each other.

Preferably, the multi-antenna wireless environment simulation unit includes: a multipath power allocation and inter-channel correlation module, which is used to combine the normalized time-varying fading coefficients of each path with the multipath delay in the fading condition parameters The power spectrum and correlation matrix perform power allocation and correlation loading, and output the multipath time-varying fading coefficients of each channel lower than the sampling rate of the input signal.

Preferably, the multi-antenna wireless environment simulation unit includes: a group of multipath fading coefficient interpolators, configured to increase the sampling rate of the multipath time-varying fading coefficients to the sampling rate of the input complex baseband signal.

Preferably, the multi-antenna wireless environment simulation unit includes: a channel filter bank, configured to form a channel filter matrix according to the number of signal inputs and outputs of the environment to be simulated, and combine the inputted uplink/downlink complex baseband signals with The multipath time-varying fading coefficients output by the multipath fading coefficient interpolator group are convoluted to obtain multiple sub-channel fading outputs, and then the sub-channels are selectively combined to obtain corresponding complex baseband signals after fading.

Preferably, the channel filter bank includes a plurality of sub-channel filters, each sub-channel filter simulates a multi-antenna environment, a multi-path channel environment between a transceiver antenna pair, each of the sub-channel filters is based on the fading The condition parameters are cascaded to provide a channel environment in which the number of multipaths is greater than a preset value.

As mentioned above, the two-way mobile communication environment simulation system of the present invention has the following beneficial effects: the main control unit is used to control the input interface, the multi-antenna wireless environment simulation unit, and the way that the output interface is converted in various transmission options and wireless environment models , can truly simulate the multipath fading process of the channel under the multi-channel wireless ring by flexibly changing the model parameters; in addition, the present invention first generates multipath time-varying fading coefficients with low sampling rate, and then multipath time-varying fading coefficients The sampling rate obtained by the interpolation processing of the coefficients is the same as the sampling rate of the received uplink/downlink complex baseband signal. By reasonably selecting a low sampling rate value and a sampling rate value, a multiplier is not needed, and the resource overhead is small.

Description of drawings

FIG. 1 is a schematic structural diagram of a two-way mobile communication environment simulation system of the present invention.

FIG. 2 is a schematic structural diagram of a multi-antenna wireless environment simulation unit in the two-way mobile communication environment simulation system of the present invention.

Fig. 3 is a schematic diagram showing the basic structure of the multi-path power distribution and inter-channel correlation module in the multi-antenna wireless environment simulation unit in the two-way mobile communication environment simulation system of the present invention.

FIG. 4 is a schematic structural diagram of a preferred mode of the two-way mobile communication environment simulation system of the present invention.

Component designation description

1 Two-way mobile communication environment simulation system

11 input interface

111 Downstream input interface

112 Uplink input interface

113 input switching module

12 main control unit

13 Multi-antenna wireless environment simulation unit

131 independent fading coefficient generation module

132 Multipath power allocation and inter-channel correlation module

133 multipath fading coefficient interpolator group

134 channel filter bank

135 Gaussian White Noise Generator

136 noise synthesis module

14 output interface

141 Downstream output interface

142 Uplink output interface

143 output switching module

Detailed ways

The implementation of the present invention will be illustrated by specific specific examples below, and those skilled in the art can easily understand other advantages and effects of the present invention from the contents disclosed in this specification.

See Figures 1 through 4. It should be noted that the structures, proportions, sizes, etc. shown in the drawings attached to this specification are only used to match the content disclosed in the specification, for those who are familiar with this technology to understand and read, and are not used to limit the implementation of the present invention. Limiting conditions, so there is no technical substantive meaning, any modification of structure, change of proportional relationship or adjustment of size, without affecting the effect and purpose of the present invention, should still fall within the scope of the present invention. The disclosed technical content must be within the scope covered.

As shown in Fig. 1, the present invention provides a two-way mobile communication environment simulation system, which is used to provide a two-way mobile communication simulation environment, and can provide a simulated two-way mobile communication test environment for mobile communication products.

The simulation system 1 includes: a main control unit 12 , an input interface 11 , a multi-antenna wireless environment simulation unit 13 , and an output interface 14 .

The main control unit 12 is configured to determine fading condition parameters of the uplink/downlink channel environment based on the acquired model parameters for simulating the uplink/downlink spatial channel environment, and configure parameters based on the acquired uplink/downlink subframes And the frame synchronization signal from the base station generates a control instruction for switching uplink/downlink channel environment simulation. And adjust the synchronization timing in the analog system based on the frame synchronization signal.

Wherein, the model parameters for simulating the uplink/downlink spatial channel environment can be set according to a preset spatial channel environment model, and the parameters used for simulating the uplink/downlink spatial channel environment in this embodiment are set according to the preset The model architecture is set by the host computer or the test user. The parameters used to simulate the uplink/downlink spatial channel environment include but are not limited to: models for simulating the spatial channel environment, correlation models between uplink/downlink channel environment models and parameters corresponding to the models, uplink/downlink The number of complex baseband signals, uniformly distributed random parameters, multipath delay power spectrum, noise parameters, etc. Wherein, the correlation model between the simulated spatial channel environment model and the uplink/downlink channel environment model includes: a model for independent uplink transmission, a model for independent downlink transmission, uplink and downlink according to a preset time correlation law Models of alternate transfers (such as models of reciprocal transfers, etc.). The uplink/downlink subframe configuration parameters include: uplink/downlink transmission subframe (time slot) configuration options and the like.

Specifically, the main control unit 12 obtains the model parameters and the configuration parameters of the uplink/downlink subframes used to simulate the uplink/downlink spatial channel environment through the host computer or the user input, and the parameters used to simulate the uplink/downlink spatial channel environment Perform necessary parameter conversion, or preprocess the obtained parameters for simulating the uplink/downlink spatial channel environment, so as to convert them into parameters required for model initialization, and then use the parameters of the simulated uplink/downlink spatial channel environment Each parameter is used to determine the correlation of the up/downlink channel environment space and the correlation matrix required for multipath fading weighting, forming the fading condition parameters for real-time uplink/downlink fading simulation;

At the same time, the main control unit 12 also obtains the subframe (or time slot) from the external input (such as obtained from the base station side) within the uplink/downlink subframe time slot provided by the uplink/downlink subframe configuration parameter. A frame synchronization signal to generate a corresponding control command for simulating uplink or downlink environment fading, wherein the frame synchronization signal is input to an interface (not shown) by a frame synchronization (time slot synchronization) signal in the main control unit 12 It is obtained that the main control unit 12 also performs system frame synchronization according to the frame synchronization signal, so as to perform correct timing control.

For example, the various parameters acquired by the main control unit 12 include: subframe (time slot) configuration options for uplink/downlink transmission, uplink and downlink alternate transmission models, time-related parameters of uplink/downlink channel environment, multipath time If the spatial correlation parameter of the fading coefficient is variable, the main control unit 12 acquires the frame synchronization signal from the base station within the time interval of the uplink/downlink switching selected in the subframe (time slot) configuration of the uplink/downlink transmission, and based on The frame synchronization signal outputs corresponding control instructions to other units (or modules) in the system 1, so that other units (or modules) simulate the fading conditions of the corresponding uplink or downlink space environment based on the control instructions , and according to the time correlation parameters of the uplink/downlink channel environment, the space correlation parameters of the multipath time-varying fading coefficient, etc., calculate the correlation matrix used for the spatial correlation simulation of the space channel, and form the corresponding uplink and downlink environments respectively Fading condition parameters, and system frame synchronization.

Preferably, the main control unit 12 generates forms with different structures according to the types of the generated fading condition parameters, and provides corresponding forms to the multi-antenna wireless environment simulation unit 13 according to the control instruction.

Specifically, the main control unit 12 obtains different model parameters configured by the user to represent various fading conditions, and generates a plurality of forms after preprocessing the fading conditions, and the multi-antenna wireless environment simulation unit 13 Real-time switching of multiple fading conditions by accessing different tables.

The input interface 11 is connected to an uplink/downlink mobile channel, and is used for receiving and processing multiple uplink/downlink input signals from corresponding uplink/downlink channels based on the control command, so as to provide corresponding uplink/downlink complex baseband signals.

Specifically, the input interface 11 includes: an uplink input interface 111 , a downlink input interface 112 , and an uplink/downlink input switching module 113 .

The uplink input interface 111 and downlink input interface 112 correspondingly receive multiple uplink and downlink input signals and convert them into corresponding uplink/downlink complex baseband signals and output them.

Specifically, the uplink input interface 111 and the downlink input interface 112 share or each include a down-conversion processing module, and after receiving multiple uplink/downlink input signals of the uplink/downlink channel, the received input The signal is subjected to down-conversion processing to obtain corresponding uplink/downlink complex baseband signals and output them.

The uplink/downlink input switching module 113 is used to switch and select the uplink input interface 111 in the input interface 11 or the complex baseband signal output by the downlink input interface 112 according to the control instruction of the main control unit 12 to output to the multiple Antenna wireless environment simulation unit 13.

For example, if the control instruction is an uplink control instruction, the uplink/downlink input switching module 113 will connect the uplink input interface 111, so that the uplink complex baseband signal acquired by the uplink input interface 111 is output to the multiple Antenna wireless environment simulation unit 13.

The multi-antenna wireless environment simulation unit 13 is configured to generate independent multipath fading coefficients based on the fading condition parameters under the control of the control instruction, and to provide the input interface 11 based on the multipath fading coefficients. The fading simulation of the channel environment is performed on the uplink/downlink complex baseband signal to obtain the uplink/downlink complex baseband signal after fading. In this way, bidirectional environment simulation of the TDD system 1 is realized.

Specifically, the multi-antenna wireless environment simulation unit 13 selects a pre-established spatial channel environment model according to the control instruction, and generates the multipath time-varying fading coefficients of each channel in real time, and then preprocesses from the main control unit 12 In the final fading condition parameter table, obtain the corresponding correlation matrix and perform matrix operation with the multipath time-varying fading coefficient to obtain the multipath time-varying fading coefficient of the final simulated multipath fading environment, so that the real-time structure can be constructed to represent the real-time channel environment time-varying channel matrix, and then perform real-time calculations on the complex baseband signal provided by the input interface 11 and the channel matrix to obtain the complex baseband signal after fading.

Wherein, the input and output numbers of the spatial channel model (corresponding to the number of transmitting/receiving antennas in the multi-antenna system 1 ) may be the same or different. For example, in the actual communication system 1, the number of antennas of the base station is M, and the number of antennas of the mobile station is N, then the number of input uplink complex baseband signals can be configured as N (number of transmit antennas of the mobile station), and the number of input downlink complex The quantity of the baseband signal is M (the number of transmitting antennas of the base station), the output quantity of the uplink complex baseband signal after the fading after the simulation processing of the multi-antenna wireless environment simulation unit 13 is M (the quantity of the receiving antennas of the base station), and the output quantity of the downlink complex baseband signal is M (the quantity of the receiving antennas of the base station), The output of the baseband signal is N (the number of receiving antennas of the mobile station).

In this embodiment, as shown in FIG. 2 , the multi-antenna wireless environment simulation unit 13 includes: an independent fading coefficient generation module 131, a multipath power allocation and inter-channel correlation module 132, and a multipath fading coefficient interpolator group 133 , a channel filter bank 134 , a white Gaussian noise generator 135 , and a noise synthesis module 136 .

The independent fading coefficient generating module 131 is configured to, under the control of the main control unit 12, at a sampling rate lower than the input signal sampling rate (F _s ) Next, the normalized time-varying fading coefficients of each path used to simulate the channel environment are sequentially generated in a time-division manner, wherein the time-varying fading coefficients of each path are independent of each other.

Specifically, the independent fading coefficient generation module 131 is at a low sampling rate Using the uniformly distributed random parameters provided by the fading condition parameter table, the number of input signals M (number of uplink/downlink complex baseband signals) and the number of output signals N (number of downlink/uplink complex baseband signals) of the channel model at the simulation time, use The stochastic fading model based on the sine wave superposition method (such as the common Jakes model and its various improved models in the literature) sequentially generates independent normalized time-varying fading coefficients for each path of M*N sub-channels. Assuming that the number of multipath taps for each subchannel is L, the finally generated fading coefficients at each moment can form a matrix H _ω of M×N×L, where the corresponding multipath taps l(l=0,1,... ,L-1) The sampling rate of the M×N fading matrix H _ω (l) is Among them, the sine wave can be generated in the form of a look-up table by means of direct digital synthesis (DDS), so as to increase the generation speed. If hardware resources allow, the time-varying fading coefficients of each path can also be realized by using a shaping filter method or an IFFT method.

The multipath power allocation and inter-channel correlation module 132 is used to set the sampling rate to The normalized time-varying fading coefficient of each path and the multipath time delay power spectrum and correlation matrix in the fading condition parameters perform power allocation and correlation loading, and output a sampling rate lower than the input signal The multipath time-varying fading coefficient of each subchannel of .

Specifically, as shown in FIG. 3 . The multipath power allocation and inter-channel correlation module 132 first according to the multipath delay power spectrum in the fading condition parameter table, the input sampling rate is The power distribution of the fading coefficient matrix H _ω (l) of each path is carried out, and the matrix H _ω ′ (l) of M×N weighted by the power of the path is obtained, where H _ω (l) is the corresponding multi-path tap in the above matrix H _ω An M×N matrix of l. Specifically, if the average power of the corresponding multipath tap l in the multipath delay power spectrum in the fading condition parameter table is P _l , then After the power allocation, the channel matrix H(l) containing multi-antenna spatial information corresponding to the multipath tap l is obtained through matrix operation, Among them, R _tx is the input correlation matrix of the space-time channel, and R _rx is the output correlation matrix. This process is a matrix operation, and the sampling rate of the output channel matrix H(l) corresponding to each path is still The multipath fading coefficient interpolator group 133 is used to increase the sampling rate of the multipath time-varying fading coefficients to the sampling rate of the input complex baseband signal.

Specifically, in order to realize the convolution of the baseband signal and the fading coefficient, it is necessary to change the fading coefficient of the fading matrix H(l) corresponding to each path from the low sampling rate Interpolated to the sampling rate F _s of the baseband signal. Therefore, the multipath fading coefficient interpolator group 133 includes multiple interpolators with high interpolation ratios, which are used to convert the low sampling rate multipath time-varying fading coefficients to the input baseband signal sampling rate. The time-varying fading coefficients of the low sampling rate of each path of each sub-channel are converted to the signal sampling rate through an interpolator. The interpolator is preferably a linear interpolator.

The channel filter bank 134 is used to form a channel filter matrix according to the signal input quantity and output quantity of the environment to be simulated, and combine the inputted uplink/downlink complex baseband signal with the multipath fading coefficient interpolator bank 133 The output multipath time-varying fading coefficients are convoluted to obtain multiple sub-channel fading outputs, and then the sub-channels are selectively combined to obtain corresponding complex baseband signals after fading.

Specifically, the channel filter group 134 performs convolution operation on the inputted uplink/downlink complex baseband signal and the multipath time-varying fading coefficient output by the multipath fading coefficient interpolator group 133, and multiple sub-channels combined to obtain the corresponding complex baseband signal after fading.

Wherein, the channel filter bank 134 includes a plurality of sub-channel filters, and each sub-channel filter simulates a channel environment between a pair of transmitting and receiving antennas in a multi-antenna environment. Preferably, each of the sub-channel filters is based on the The fading condition parameters are cascaded to provide a channel environment in which the number of multipaths is greater than a preset value.

A plurality of sub-channel filters constitute a sub-channel filter matrix, and the rows/columns of the sub-channel filter matrix are determined according to the number of input and output of the channel model at the simulation time. For example, the input quantity of the current channel model is M, the output quantity is N, and the subchannel filter matrix is M rows and N columns, with a total of M*N subchannel filters, and the N subchannel filters in each row correspond to the same One path of complex baseband input, such that M rows of sub-channel filters correspond to M paths of complex baseband inputs, and the fading outputs of M sub-channel filters in each column are linearly combined to correspond to the fading signal of one output, so that N columns of sub-channel filters correspond to N complex baseband signals output after fading.

Preferably, each channel filter constituting the channel filter matrix in the channel filter bank 134 is implemented using a tapped delay line structure of an FIR filter, and each sub-channel filter is independently controlled by the main control unit 12, In order to realize the control of a specific sub-channel.

For example, the specific sub-channel in the channel filter bank 134 in the fading condition parameter table is invalid, so that the input signals are independent from each other. Multiple input and output pairs can be configured as multiple groups of independent channels, or can be configured as correlated channels under the control of the main control unit 12 . As an optimization scheme of the channel filter bank 134, the tapped delay line structure of each sub-channel filter can be replaced with a Farrow structure to achieve fractional delay and further improve the multipath resolution of wireless environment simulation.

More preferably, in order to more accurately simulate a multi-channel environment, each channel filter in the channel filter bank 134 further includes multiple RAMs connected in cascade.

The RAM is used to provide delay in an analog channel environment.

Specifically, for the simulation of broadband wireless signal environment, generally the resolution of multipath delay is relatively high. For the simulation of longer delay multipath, a large number of register resources are required to complete the delay of the input signal and simulate the memory effect of the wireless channel. Resource overhead is high. In this embodiment, a large-capacity RAM is used to implement the delay of the input signal, and the simulation of long-delay multipath components can be realized under the condition of relatively high delay resolution.

The noise synthesis module 136 is used for simulating white noise in the wireless environment, and superimposing the white noise on the faded complex baseband signal. Wherein, the noise synthesis module 136 includes: a white Gaussian noise generator 135 and a noise combiner.

The white Gaussian noise generator 135 is used to generate white Gaussian noise with unit power.

The noise combiner is configured to weight the unit power Gaussian white noise according to the noise parameters provided by the fading condition parameter table, and then superimpose it on the fading uplink/downlink complex baseband signal.

The output interface 14 is connected to an uplink/downlink channel, and is used for processing the uplink/downlink complex baseband signal based on the control instruction and outputting it to a corresponding uplink/downlink channel.

Specifically, the output interface 14 includes: an uplink output interface 142 , a downlink output interface 141 , and an uplink/downlink output switching module 143 .

The uplink output interface 142 and downlink output interface 141 convert the faded uplink/downlink complex baseband signals into corresponding multiple uplink/downlink intermediate frequency or radio frequency signals and output them to corresponding uplink/downlink channels.

Specifically, the uplink output interface 142 and the downlink output interface 141 share or each include an upconversion processing module, and after receiving the faded uplink/downlink complex baseband signal, perform upconversion processing on the received complex baseband signal to obtain Corresponding multi-channel uplink/downlink intermediate frequency or radio frequency signals are obtained and output.

The uplink/downlink output switching module 143 is used to switch and select the uplink output interface 142 or the downlink output interface 141 according to the control instruction of the main control unit 12, so as to perform up-conversion processing and transmission on the complex baseband signal after fading .

For example, if the control instruction is an uplink control instruction, the uplink/downlink output switching module 143 will connect the downlink output interface 141, so that the complex output of the multi-antenna wireless environment simulation unit 13 on the downlink output interface 141 The baseband signal is subjected to up-conversion processing and sent to the downlink channel to be sent to the terminal.

As shown in Figure 4, the working process of the simulation system 1 is as follows:

The tester configures the up/downlink subframe time according to the control interface provided by the main control unit 12, and respectively configures the model parameters used to simulate the uplink/downlink spatial channel environment, and the main control unit 12 generates a subframe for use according to the parameters. Fading condition parameters such as multipath delay power weighting coefficient for multipath fading processing, correlation matrix for spatial correlation processing, etc., and encapsulate the fading condition parameters in the fading condition parameter table, and according to the up/down link subframe Time to obtain the frame synchronization signal of the base station, and output the corresponding uplink or downlink fading condition parameter table and control instruction when the frame synchronization signal is obtained; the input interface 11 receives the input signal from the corresponding channel according to the control instruction , and convert the input signal into a complex baseband signal, and provide it to the multi-antenna wireless environment simulation unit 13, after the multi-antenna wireless environment simulation unit 13 receives the fading condition parameter table and the control instruction, it is generated by the independent fading coefficient Module 131 adopts the method of time-division multiplexing according to the parameters provided in the fading condition parameter table to sequentially generate the normalized and independent time-varying fading coefficients of each path for simulating the channel environment, and the multipath power allocation and inter-channel correlation Module 132 performs power allocation and correlation loading according to the time-varying fading coefficients of each path according to the fading condition parameter table, so as to obtain the multi-path time-varying fading coefficients of each channel with spatial correlation, and then interpolate from the multi-path fading coefficients The device group 133 increases the sampling rate of the multipath time-varying fading coefficient to the sampling rate of the input complex baseband signal, and the channel filter matrix is formed by the channel filter group 134 according to the signal input quantity and the output quantity of the environment to be simulated, Perform convolution operation on the input uplink/downlink complex baseband signal and the multipath time-varying fading coefficient output by the multipath fading coefficient interpolator group 133 to obtain multiple sub-channel fading outputs, and then selectively perform sub-channel Combined to obtain the corresponding faded complex baseband signal, then load the noise and output to the output interface 14, and then the output interface 14 performs up-conversion of the simulated faded complex baseband signal according to the control instruction and sends it to the corresponding channel.

To sum up, in the two-way mobile communication environment simulation system of the present invention, the main control unit generates a corresponding fading condition parameter table according to the input simulation environment parameters, and configures the parameters in the uplink/downlink subframe and provides the uplink or downlink time slot The frame synchronization signal of the base station is obtained in real time to generate control commands for controlling the input interface, the multi-antenna wireless environment simulation unit, and the output interface, and can truly simulate the multipath fading of the channel under the multi-channel wireless ring by flexibly changing the model parameters process; in addition, this independent fading coefficient generating module generates multipath time-varying fading coefficients with low sampling rate, and then interpolates the multipath time-varying fading coefficients to obtain the sampling rate and the received uplink/downlink complex baseband signal sampling rate is the same, by reasonably selecting a low sampling rate value and a sampling rate value, a multiplier is not needed, and the resource overhead is small; in addition, the present invention is especially suitable for the uplink/downlink of a TDD system because it can simulate the radio wave propagation characteristics of a real multi-antenna mobile environment Two-way environment simulation provides simulation of actual multi-antenna mobile propagation scenarios for system design, system debugging and measurement in the new generation of broadband mobile communication technology, and provides basis for design, verification and optimization of broadband wireless communication systems. Therefore, the present invention effectively overcomes various shortcomings in the prior art and has high industrial application value.

The above-mentioned embodiments only illustrate the principles and effects of the present invention, but are not intended to limit the present invention. Anyone skilled in the art can modify or change the above-mentioned embodiments without departing from the spirit and scope of the present invention. Therefore, all equivalent modifications or changes made by those skilled in the art without departing from the spirit and technical ideas disclosed in the present invention should still be covered by the claims of the present invention.

Claims (7)

1. a bidirectional mobile communication environmental simulation system, is characterized in that, at least comprises:

Main control unit, for based on the obtained fade condition parameter determining corresponding uplink/downlink channel circumstance for the model parameter simulating uplink/downlink space channel environment, and generate the control command for switching the simulation of uplink/downlink channel circumstance based on obtained uplink/downlink sub-frame configuration parameter and from the frame frame synchronizing signal of outside input, and adjust the synchronous sequence in described analogue system based on described frame synchronizing signal;

The input interface of access uplink/downlink channel, processes for the multichannel uplink/downlink input signal received from corresponding uplink/downlink channel based on described control command, to provide corresponding uplink/downlink complex baseband signal;

Multi-antenna wireless environmental simulation unit, for under the control of described control command, independently multipath fading coefficient is generated based on described fade condition parameter, and based on described multipath fading coefficient, the uplink/downlink complex baseband signal that described input interface provides is carried out to the decline simulation of channel circumstance, obtain the uplink/downlink complex baseband signal after declining; Wherein, first generate the multipath Time-varying fading coefficient of low sampling rate, again multipath Time-varying fading coefficient is obtained sample rate by interpolation process identical with the acquisition rate of received uplink/downlink complex baseband signal, carry out the many fading process of analog channel by choose reasonable low sampling rate value and sample rates values and generate described multipath fading coefficient;

The output interface of access uplink/downlink channel, for exporting to uplink/downlink baseband signal described in multichannel after processing in corresponding uplink/downlink channel based on described control command.

2. bidirectional mobile communication environmental simulation system according to claim 1, it is characterized in that, described main control unit also for generating the list of different structure according to the kind of generated fade condition parameter, and provides corresponding list according to described control command to described multi-antenna wireless environmental simulation unit.

3. bidirectional mobile communication environmental simulation system according to claim 1, it is characterized in that, described multi-antenna wireless environmental simulation unit comprises: independent fading coefficient generation module, for under the control of described main control unit, under the sample rate lower than described input signal, adopt time-multiplexed mode to produce the Time-varying fading coefficient in the normalized each footpath for analog channel environment successively, wherein, the Time-varying fading coefficient in each footpath is mutually independent.

4. bidirectional mobile communication environmental simulation system according to claim 3, it is characterized in that, described multi-antenna wireless environmental simulation unit comprises: multipath power distributes and inter-channel correlation module, for by the multidiameter delay power spectrum in the Time-varying fading coefficient in normalized each footpath and described fade condition parameter and correlation matrix carries out power division and correlation loads, and export the multipath Time-varying fading coefficient lower than each channel of the sample rate of described input signal.

5. bidirectional mobile communication environmental simulation system according to claim 4, it is characterized in that, described multi-antenna wireless environmental simulation unit comprises: multipath fading coefficient interpolator group, for the sample rate of described multipath Time-varying fading coefficient being increased to the sample rate of the complex baseband signal of input.

6. bidirectional mobile communication environmental simulation system according to claim 5, it is characterized in that, described multi-antenna wireless environmental simulation unit comprises: channel model group, for forming channel model matrix according to the signal input quantity and output quantity for the treatment of simulated environment, the described uplink/downlink complex baseband signal of input and the multipath Time-varying fading coefficient that exports of described multipath fading coefficient interpolator group are carried out convolution algorithm to obtain multiple subchannel and decline and export, then optionally sub-channel merges, with the complex baseband signal after being declined accordingly.

7. bidirectional mobile communication environmental simulation system according to claim 6, it is characterized in that, described channel model group comprises multiple subchannel filter, in each subchannel filter simulation multiple antennas environment, dual-mode antenna between multi-path channel environment, each described subchannel filter carries out cascade based on described fade condition parameter, with the channel circumstance providing multipath number to be greater than preset value.