Communication and inductance integrated test method and system based on channel simulator

Abstract

The invention discloses a communication and inductance integrated test method based on a channel simulator, and relates to the technical field of next-generation wireless communication. According to the method, the basic functions of the channel simulator are expanded, so that the channel simulator can generate deceptive echoes for sensing testing on the basis of communication testing, and comprehensive evaluation of communication and sensing functions of the communication and sensing integrated base station is realized. The invention further discloses a communication and sensing integrated test system based on the channel simulator, the simulation capability of the channel simulator is utilized, the sensing channel model is loaded at the same time, and sensing targets in different propagation scenes are simulated by adjusting parameters such as time delay and Doppler frequency shift. Experimental verification shows that the method can realize efficient testing of the communication and inductance integrated base station without introducing extra expensive equipment, and has the characteristics of high cost effectiveness and strong scene adaptability.

Description

Technical Field

[0001] The present invention relates to the technical field of next-generation wireless communication, and in particular to a synaesthesia integrated testing method and system based on a channel simulator. Background Art

[0002] With the global commercial deployment of the fifth-generation (5G) mobile communication system and the gradual advancement of the research and development of the sixth-generation (6G) mobile communication system, future wireless communication networks will not only need to support higher transmission rates and lower latency, but also integrate multiple functions such as communication, perception, and computing. This integrated system that combines communication and perception is considered one of the key technologies for achieving the mapping of the physical and digital worlds (i.e., digital twins). The integrated synaesthesia system achieves the collaborative integration of high-quality communication and high-precision perception through deep sharing of spectrum resources, hardware platforms, and information frameworks, thus showing significant advantages in cost-effectiveness and performance optimization.

[0003] In an integrated synaesthesia system, the base station must not only possess traditional communication functions but also be able to perceive the surrounding environment, such as detecting the speed, distance, and angle of moving targets. Therefore, testing an integrated synaesthesia base station requires evaluating both its communication and perception capabilities. However, existing wireless communication test platforms primarily evaluate communication performance and lack the means to test perception capabilities. While traditional radar target simulators can generate deceptive echoes for perception testing, they differ significantly from communication systems in terms of simulated multipath fading channels, signal waveforms, and frequency bands, making them difficult to meet the requirements of joint testing of integrated synaesthesia systems.

[0004] As a mature communication testing tool, channel simulators can simulate complex wireless propagation channels and are widely used in performance testing of communication equipment. In recent years, with the development of synaesthesia integration technology, research has found that the principles of synaesthesia integration channel modeling methods have not undergone fundamental changes. Therefore, channel simulators can not only be used for communication performance testing of synaesthesia integration base stations, but also, due to their ability to simulate time delay and Doppler frequency shift, can also support perception testing of synaesthesia integration base stations to a certain extent.

[0005] Furthermore, existing synaesthesia integration testing methods are limited to basic functional verification, lacking a practical test platform to evaluate the full performance of synaesthesia integration devices. Therefore, developing a channel simulator-based test platform that can support both communication and perception testing is crucial for promoting the research, development, and application of synaesthesia integration technology. Summary of the Invention

[0006] The technical problem to be solved by the present invention is to overcome the deficiencies of the prior art and provide a synaesthesia integration testing method and system based on a channel simulator. The present invention can simultaneously evaluate the communication and perception capabilities of a synaesthesia integration base station without the need for additional expensive equipment.

[0007] The present invention adopts the following technical solutions to solve the above technical problems:

[0008] A synaesthesia integrated testing method based on a channel simulator proposed in the present invention includes:

[0009] First, based on the synaesthesia integration scenario and the physical configuration of the channel simulator, the communication channel model and the perception channel model are constructed.

[0010] Subsequently, based on the communication channel model and the perception channel model, the channel simulator's channel simulation capability is utilized to load the communication channel for communication testing. At the same time, the channel simulation capability is expanded to load perception channel simulation, enabling the channel simulator to generate simulated echoes for perception testing.

[0011] Finally, based on the synaesthesia integration scenario simulated by the channel simulator, a comprehensive evaluation of the synaesthesia integration base station communication and perception functions was completed.

[0012] As a further optimization scheme of the synaesthesia integrated testing method based on a channel simulator according to the present invention, the specific steps are as follows:

[0013] Step 1: Deploy the integrated base station and load the N r Receive antennas and N t Communication channel model of root transmitting antenna The communication channel model is loaded to simulate the communication link, where and τ represent time and delay;

[0014] Step 2: Use the channel simulator to load the N r Receive antennas and N t Perceptual channel model of the root transmitting antenna Generate deceptive echoes to simulate perceived targets;

[0015] Step 3: Adjust the time delay τ and Doppler frequency shift parameter f d ,simulate sensing targets at different distances and speeds;

[0016] Step 4: Evaluate the joint communication and perception capabilities of the synesthesia integrated base station; wherein, the synesthesia integrated base station receives deceptive echoes using its receiving antenna to evaluate the perception performance of the base station; and uses a user terminal simulator to receive simulated communication signals to evaluate the communication performance.

[0017] As a further optimization scheme of the synaesthesia integrated testing method based on a channel simulator described in the present invention, The calculation formula is as follows:

[0018]

[0019] Wherein, the superscript c represents the communication channel, N c and q represent the number and index of the path in the communication channel respectively, n r and n t are the index subscripts of the receiving and transmitting antennas respectively, and denote the amplitude and delay of the qth path respectively, and Represent the arrival and departure space vectors of the qth path, represents the Doppler frequency of the qth path, F V (·) and F H (·) are the antenna patterns of vertical and horizontal polarization, respectively, and κ q is the cross-polarization power ratio, is a random phase uniformly distributed on (0, 2π], the superscript T is the transpose, j is the imaginary unit, e is a natural constant, δ is the impulse function, Indicates the nth r The angle of arrival received by the receiving antenna is The vertical polarization receiving gain of the qth multipath channel is, Indicates the nth r The angle of arrival received by the receiving antenna is The horizontal polarization receiving gain of the qth multipath channel is: Indicates the nth t The starting angle of the transmitting antenna is The vertical polarization transmission gain of the qth multipath channel is, Indicates the nth t The starting angle of the transmitting antenna is The horizontal polarization transmission gain of the qth multipath channel is, Denotes the qth multipath channel with a delay τ q c The channel impulse response generated by arrival.

[0020] As a further optimization scheme of the synaesthesia integrated testing method based on a channel simulator described in the present invention, The calculation formula is as follows:

[0021]

[0022] Where, the superscript s represents the sensing channel, N sand l represent the number and index of the echo path in the sensing channel at time t, respectively. and represent the amplitude and time-varying delay of the corresponding path at time t, and σ l (t) represents the arrival space vector, departure space vector and radar cross section RCS of the path at time t, represents the instantaneous Doppler frequency of the corresponding path at time t, F V (·) and F H (·) are the antenna patterns of vertical and horizontal polarization, respectively, and κ l is the cross-polarization power ratio, is a random phase uniformly distributed on (0, 2π], Indicates the nth r The angle of arrival received by the receiving antenna is The vertical polarization receiving gain of the lth multipath channel is, Indicates the nth r The angle of arrival received by the receiving antenna is The horizontal polarization receiving gain of the lth multipath channel is, Indicates the nth t The starting angle of the transmitting antenna is The vertical polarization transmission gain of the lth multipath channel is, Indicates the nth t The starting angle of the transmitting antenna is The horizontal polarization transmission gain of the lth multipath channel is, It means that the qth multipath channel at time t has a delay of τ l s (t) The channel impulse response generated by arrival.

[0023] As a further optimization scheme of the synaesthesia integration test method based on the channel simulator described in the present invention, it also includes the synaesthesia integration base station measuring and verifying the delay simulated by the channel simulator, wherein the instantaneous power delay spectrum at time t0 The calculation formula is as follows:

[0024]

[0025] Among them, N f is the measurement frequency of the vector network analyzer VNA, f n is the nth frequency point measured by VNA, E s (t0,f n ) is the channel frequency response CFR measured between two ports of the vector network analyzer, H a (f n) is the calibration vector, H w (f n ) is the window function vector.

[0026] As a further optimization scheme of the synaesthesia integration test method based on the channel simulator described in the present invention, the synaesthesia integration base station also includes measuring and verifying the Doppler frequency simulated by the channel simulator, wherein the Doppler frequency shift spectrum S(f d ) is calculated as follows:

[0027]

[0028] Among them, N sn is the number of channel snapshots, H s (t n , f c ) is the vector network analyzer at t n Time frequency f c The channel frequency response CFR, f c is the set center frequency, H a (f c ) is the calibration vector, f d is the Doppler frequency.

[0029] As a further optimization scheme of the synaesthesia integration test method based on a channel simulator described in the present invention, the communication channel model and the perception channel model include communication multipath parameters and perception target characteristics.

[0030] A synaesthesia integrated test system based on a channel simulator includes a synaesthesia integrated base station, a channel simulator and a user terminal simulator; wherein,

[0031] A telepathic base station is used to transmit communication and perception signals and receive deceptive echoes simulated by a channel simulator to evaluate the perception performance of the telepathic base station.

[0032] The channel simulator is used to load the communication channel model and the perception channel model, modulate the communication and perception signals, generate communication multipath signals, and generate deceptive echoes to simulate the perception target; it simulates different propagation scenarios by adjusting the time delay and Doppler frequency shift;

[0033] The user terminal simulator is used to evaluate the communication performance of the telepathic integrated base station based on the communication multipath signal simulated by the received channel simulator.

[0034] A computer device includes a memory, a processor, and a computer program stored in the memory and capable of running on the processor. When the processor executes the computer program, the steps of the above-mentioned synaesthesia integration testing method based on a channel simulator are implemented.

[0035] A computer-readable storage medium stores a computer program, which, when executed by a processor, implements the steps of the above-mentioned synaesthesia integration testing method based on a channel simulator.

[0036] Compared with the prior art, the present invention adopts the above technical solution and has the following technical effects:

[0037] (1) This solution achieves joint evaluation of communication and perception testing by expanding the functionality of the channel simulator, eliminating the need for expensive radar target simulators and achieving significant cost-effectiveness.

[0038] (2) The channel simulator can simulate complex wireless propagation environments, support the testing requirements of various scenarios, and has high flexibility and adaptability;

[0039] (3) This solution experimentally verifies the channel simulator's ability to simulate time delay and Doppler shift, providing a reliable technical means for testing integrated telepresence base stations.

[0040] (4) This solution provides an efficient testing platform for the research and development and application of synaesthesia integration technology in future 6G networks, and has broad application prospects. BRIEF DESCRIPTION OF THE DRAWINGS

[0041] Figure 1 This is a diagram of the architecture of a synaesthesia integrated testing system based on a channel simulator according to an embodiment of the present invention;

[0042] Figure 2 This is a flow chart of a synaesthesia integrated testing method based on a channel simulator in an embodiment of the present invention;

[0043] Figure 3 This is a diagram showing the architecture of a wireless test system for a base station using a vector network analyzer to verify synaesthesia integration in an embodiment of the present invention;

[0044] Figure 4 This is a diagram showing the results of using a vector network analyzer to verify the delay simulation capability of a synaesthesia integrated base station test channel simulator for a perception target in an implementation case of the present invention;

[0045] Figure 5 This is a diagram showing the results of using a vector network analyzer to verify the Doppler frequency shift simulation capability of a synaesthesia integrated base station test channel simulator for a perceived target in an embodiment of the present invention;

[0046] Figure 6 This is a diagram showing the architecture of a wireless test system for a base station using a vehicle-mounted millimeter-wave radar to verify interawareness integration in an embodiment of the present invention;

[0047] Figure 7This is a result diagram of the simulation capability of a vehicle-mounted millimeter-wave radar used in an implementation case of the present invention to verify the synesthesia integrated base station test channel simulator for multiple targets with different distances and speeds; wherein (a) is a result diagram of the distance simulation capability for different targets, and (b) is a result diagram of the speed simulation capability for different targets. DETAILED DESCRIPTION

[0048] In order to make the objectives, technical solutions and advantages of the present invention more clear, the present invention will be described in detail below with reference to the accompanying drawings and specific embodiments.

[0049] A synaesthesia integrated testing method based on a channel simulator, comprising:

[0050] First, based on the synaesthesia integration scenario and the physical configuration of the channel simulator, the communication channel model and the perception channel model are constructed.

[0051] Subsequently, based on the communication channel model and the perception channel model, the channel simulator's channel simulation capability is utilized to load the communication channel for communication testing. At the same time, the channel simulation capability is expanded to load perception channel simulation, enabling the channel simulator to generate simulated echoes for perception testing.

[0052] Finally, based on the synaesthesia integration scenario simulated by the channel simulator, a comprehensive evaluation of the synaesthesia integration base station communication and perception functions was completed.

[0053] The specific steps of a synaesthesia integrated testing method based on a channel simulator are as follows:

[0054] Step 1: Deploy the integrated base station and load the N r Receive antennas and N t Communication channel model of root transmitting antenna The communication channel model is loaded to simulate the communication link, where and τ represent time and delay;

[0055] Step 2: Use the channel simulator to load the N r Receive antennas and N t Perceptual channel model of the root transmitting antenna Generate deceptive echoes to simulate perceived targets;

[0056] Step 3: Adjust the time delay τ and Doppler frequency shift parameter f d ,simulate sensing targets at different distances and speeds;

[0057] Step 4: Evaluate the joint communication and perception capabilities of the synesthesia integrated base station; wherein, the synesthesia integrated base station receives deceptive echoes using its receiving antenna to evaluate the perception performance of the base station; and uses a user terminal simulator to receive simulated communication signals to evaluate the communication performance.

[0058] The calculation formula is as follows:

[0059]

[0060] Wherein, the superscript c represents the communication channel, N c and q represent the number and index of the path in the communication channel respectively, n r and n t are the index subscripts of the receiving and transmitting antennas respectively, and denote the amplitude and delay of the qth path respectively, and Represent the arrival and departure space vectors of the qth path, represents the Doppler frequency of the qth path, F V (·) and F H (·) are the antenna patterns of vertical and horizontal polarization, respectively, and κ q is the cross-polarization power ratio, is a random phase uniformly distributed on (0, 2π], the superscript T is the transpose, j is the imaginary unit, e is a natural constant, δ is the impulse function, Indicates the nth r The angle of arrival received by the receiving antenna is The vertical polarization receiving gain of the qth multipath channel is, Indicates the nth r The angle of arrival received by the receiving antenna is The horizontal polarization receiving gain of the qth multipath channel is: Indicates the nth t The starting angle of the transmitting antenna is The vertical polarization transmission gain of the qth multipath channel is, Indicates the nth t The starting angle of the transmitting antenna is The horizontal polarization transmission gain of the qth multipath channel is, Denotes the qth multipath channel with a delay τ q c The channel impulse response generated by arrival.

[0061] The calculation formula is as follows:

[0062]

[0063] Where, the superscript s represents the sensing channel, N s and l represent the number and index of the echo path in the sensing channel at time t, respectively. and represent the amplitude and time-varying delay of the corresponding path at time t, and σ l (t) represents the arrival space vector, departure space vector and radar cross section RCS of the path at time t, represents the instantaneous Doppler frequency of the corresponding path at time t, F V (·) and F H (·) are the antenna patterns of vertical and horizontal polarization, respectively, and κ l is the cross-polarization power ratio, is a random phase uniformly distributed on (0, 2π], Indicates the nth r The angle of arrival received by the receiving antenna is The vertical polarization receiving gain of the lth multipath channel is, Indicates the nth r The angle of arrival received by the receiving antenna is The horizontal polarization receiving gain of the lth multipath channel is, Indicates the nth t The starting angle of the transmitting antenna is The vertical polarization transmission gain of the lth multipath channel is, Indicates the nth t The starting angle of the transmitting antenna is The horizontal polarization transmission gain of the lth multipath channel is, It means that the qth multipath channel at time t has a delay of τ l s (t) The channel impulse response generated by arrival.

[0064] The present invention also includes a telepathic integrated base station to measure and verify the delay simulated by the channel simulator, wherein the instantaneous power delay spectrum at time t0 The calculation formula is as follows:

[0065]

[0066] Among them, N f is the measurement frequency of the vector network analyzer VNA, f n is the nth frequency point measured by VNA, H s (t0,f n ) is the channel frequency response CFR measured between two ports of the vector network analyzer, H a (f n ) is the calibration vector, H w (f n ) is the window function vector.

[0067] The present invention also includes a method for measuring and verifying the Doppler frequency simulated by the channel simulator by the synaesthesia integrated base station, wherein the Doppler frequency shift spectrum S (f d ) is calculated as follows:

[0068]

[0069] Among them, N sn is the number of channel snapshots, H s (t n , f c ) is the vector network analyzer at t n Time frequency f c The channel frequency response CFR, f c is the set center frequency, H a (f c ) is the calibration vector, f d is the Doppler frequency.

[0070] The communication channel model and the perception channel model include communication multipath parameters and perception target characteristics.

[0071] A synaesthesia integrated test system based on a channel simulator includes a synaesthesia integrated base station, a channel simulator and a user terminal simulator; wherein,

[0072] A telepathic base station is used to transmit communication and perception signals and receive deceptive echoes simulated by a channel simulator to evaluate the perception performance of the telepathic base station.

[0073] The channel simulator is used to load the communication channel model and the perception channel model, modulate the communication and perception signals, generate communication multipath signals, and generate deceptive echoes to simulate the perception target; it simulates different propagation scenarios by adjusting the time delay and Doppler frequency shift;

[0074] The user terminal simulator is used to evaluate the communication performance of the telepathic integrated base station based on the communication multipath signal simulated by the received channel simulator.

[0075] A computer device includes a memory, a processor, and a computer program stored in the memory and capable of running on the processor. When the processor executes the computer program, the steps of the above-mentioned synaesthesia integration testing method based on a channel simulator are implemented.

[0076] A computer-readable storage medium stores a computer program, which, when executed by a processor, implements the steps of the above-mentioned synaesthesia integration testing method based on a channel simulator.

[0077] The schematic diagram of the device implemented in this method is as follows Figure 1shown; among them,

[0078] Synaptic base station: Used to transmit communication and perception signals. In actual testing scenarios, the synaptic base station can be a next-generation wireless communication base station that integrates communication and perception functions, or a verification device with both communication and perception functions.

[0079] Channel Simulator: This loads the communication channel model and the perception channel model, generating deceptive echoes to simulate perceived targets. By adjusting parameters such as delay and Doppler shift, the channel simulator can simulate different propagation scenarios.

[0080] User terminal simulator: used to receive communication signals processed by the channel simulator and evaluate the communication performance of the telepathic integrated base station.

[0081] like Figure 2 As shown in the test method flow chart, the present invention also includes a synaesthesia integrated testing method based on a channel simulator:

[0082] First, the integrated telepathic base station transmits a signal that combines both communication and perception functions. A channel simulator loads the communication channel model to simulate the communication link, and also loads the perception channel model to generate deceptive echoes to simulate perceived targets. By adjusting delay and Doppler shift parameters, the channel simulator can simulate perceived targets at varying distances and speeds.

[0083] Next, the receiving antenna receives the spoofed echo signal generated by the channel simulator and transmits it to the synesthesia base station. The synesthesia base station processes the received signal to assess information such as the distance, speed, and angle of the perceived target. Simultaneously, the user terminal simulator receives the communication signal processed by the channel simulator and evaluates the synesthesia base station's communication performance, such as throughput and bit error rate.

[0084] Finally, a calibration device was used to compensate for the inherent delay of the channel simulator, improving test accuracy. Combined with the communication and perception performance evaluation results, the combined communication and perception capabilities of the integrated interawareness base station were fully verified.

[0085] In the implementation case, the topology of the test device is as shown in the attached Figure 3As shown, the over-the-air test environment consists of a vector network analyzer simulating a telepathic base station, a channel simulator serving as a telepathic simulator, and a multi-polarization RF probe. It is assumed that the deployed telepathic base station has only one transmitting antenna and one receiving antenna, and all tests are conducted wirelessly. The wireless signal is transmitted from the vector network analyzer, received by the RF probe through the over-the-air test environment, and transmitted to the input port of the channel simulator. The channel simulator loads predefined communication channel impulse responses and perception channel impulse responses, respectively simulating multipath communication links and deceptive echoes with delay and Doppler shift. After processing by the channel simulator, the communication signal is transmitted via an RF cable to the user terminal simulator for evaluating communication performance metrics (such as throughput and bit error rate). The perception signal is re-radiated by the RF probe to the vector network analyzer's receiving port for processing by the telepathic base station to extract information such as target distance and speed.

[0086] In the air interface test scenario, the channel simulator simulates sensing targets at different distances by dynamically adjusting the delay parameters. The experiment sets multiple static targets with delays of 4480ns, 4500ns, and 4520ns, corresponding to theoretical distances of 0m, 3m, and 6m. The vector network analyzer collects the channel frequency response through the wireless link and calculates the power delay spectrum using the inverse discrete Fourier transform. The measured results are shown in Figure 2. Figure 4 As shown, the channel simulator can accurately simulate the preset delay at fixed intervals of 20ns, with an error of less than 2ns. For example, when the preset delay is 4500ns, the measured delay is 4500ns. For dynamic target scenarios (such as moving from 0m to 6m), the channel simulator gradually switches the delay parameters (each step is 20ns), generating a step-like delay variation signal that aligns with the preset motion trajectory.

[0087] At the same time, the channel simulator simulates the target speed change by loading the time-varying Doppler frequency shift parameters. The experiment sets the Doppler frequency shift to ±100Hz, ±500Hz and ±1000Hz, corresponding to the target speed of 1m / s, 5m / s and 10m / s. The vector network analyzer collects the channel frequency response data of continuous channel snapshots and analyzes the Doppler spectrum through discrete Fourier transform. The results are shown in Figure 2. Figure 5 As shown in the figure, the channel simulator can simulate single-path and multipath Doppler frequencies with 1Hz accuracy. For example, when the preset Doppler frequency shift is ±1000Hz, the measured frequency shift is ±999.8Hz. For variable speed target scenarios (such as a linear increase in speed from 1m / s to 10m / s), the channel simulator dynamically updates the Doppler parameters to generate a smoothly varying frequency shift signal that closely matches the theoretical speed curve.

[0088] In one implementation case, the topology of the test device is as shown in the attached Figure 6As shown, the over-the-air test environment consists of a commercial millimeter-wave radar as a sensing device, a channel simulator as a synaesthesia simulator, and a multi-polarization RF probe. It is assumed that the deployed millimeter-wave radar operates in the 24.15 GHz frequency band with a bandwidth of 200 MHz, and all tests are conducted wirelessly. After being transmitted from the radar, the wireless signal is received by the RF probe through the over-the-air test environment and transmitted to the input port of the channel simulator. The channel simulator is loaded with a predefined sensing channel impulse response to simulate deceptive echoes with time delay and Doppler shift. The sensing signal is then re-radiated by the RF probe to the radar's receiving port for processing to extract information such as target range and velocity.

[0089] In the air interface test scenario, the channel simulator simulates sensing targets at different distances by dynamically adjusting the delay parameters. The experiment sets four static targets with delays of 0ns, 8333ns, 16667ns, and 25000ns, corresponding to theoretical distances of 0m, 25m, 50m, and 75m. The radar collects echo signals through the wireless link and calculates the distance spectrum using Fourier transform. The measured results are as follows: Figure 7 As shown in (a) of Figure 1, the channel simulator accurately simulates the preset distance with an error of less than 8 meters. For example, when the preset distance is 25 meters, the measured distance is 33 meters; when the preset distance is 75 meters, the measured distance is 83 meters. Due to the radar's range limitations, when the absolute delay exceeds the radar's maximum estimated range, the radar will perform a loop count, resulting in a range error of 8 meters. Through calibration mechanisms (such as deducting a fixed delay value), the range error can be reduced to 0.5 meters.

[0090] At the same time, the channel simulator simulates the target speed change by loading the time-varying Doppler frequency shift parameters. The experiment sets the Doppler frequency shift to ±1.67Hz, ±8.33Hz and ±50Hz, corresponding to the target speed of 1m / s, 5m / s and 30m / s. The radar collects continuous echo signals and analyzes the Doppler spectrum through discrete Fourier transform. The results are as follows Figure 7 As shown in (b) of Figure 1, the channel simulator achieves high-precision Doppler simulation. For example, when the preset speed is 1 m / s, the measured speed is 1 m / s; when the preset speed is 30 m / s, the measured speed is 30 m / s. For variable speed target scenarios (such as a linear increase in speed from 1 m / s to 30 m / s), the channel simulator dynamically updates the Doppler parameters to generate a smoothly varying frequency shift signal that closely matches the theoretical speed curve.

[0091] Test results demonstrate that the channel simulator can accurately simulate dynamic multi-target scenarios (e.g., distances of 0-75m and speeds of 1-30m / s), validating the platform's ability to test commercial radars in the millimeter-wave band. Calibration and optimization further improved test accuracy, providing a reliable test solution for the development and verification of integrated synaesthesia systems.

[0092] It will be understood by those skilled in the art that the embodiments of the present invention may be provided as methods, systems, or computer program products. Therefore, the present invention may take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. Furthermore, the present invention may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code. The solutions in the embodiments of the present invention may be implemented in various computer languages, for example, the object-oriented programming language Java and the interpreted scripting language JavaScript.

[0093] The present invention is described with reference to flowcharts and / or block diagrams of methods, devices (systems), and computer program products according to embodiments of the present invention. It should be understood that each process and / or block in the flowcharts and / or block diagrams, as well as combinations of processes and / or blocks in the flowcharts and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowcharts and / or block diagrams. Figure 1 a process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0094] These computer program instructions may also be stored in a computer readable memory that can direct a computer or other programmable data processing device to work in a specific manner, so that the instructions stored in the computer readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 a process or multiple processes and / or boxes Figure 1 The function specified in one or more boxes.

[0095] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operational steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing the instructions executed on the computer or other programmable device for implementing the process. Figure 1 a process or multiple processes and / or boxes Figure 1 A step that specifies a function in one or more boxes.

[0096] Although the preferred embodiments of the present invention have been described, those skilled in the art may make additional changes and modifications to these embodiments once they have learned the basic creative concept. Therefore, the appended claims are intended to be interpreted as including the preferred embodiments and all changes and modifications that fall within the scope of the present invention.

[0097] Obviously, those skilled in the art may make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if such changes and modifications fall within the scope of the claims and their equivalents, the present invention is intended to include such changes and modifications.

Claims

1. A synaesthesia integrated testing method based on a channel simulator, characterized in that: include: First, based on the synaesthesia integration scenario and the physical configuration of the channel simulator, the communication channel model and the perception channel model are constructed. Subsequently, based on the communication channel model and the perception channel model, the channel simulator's channel simulation capability is utilized to load the communication channel for communication testing. At the same time, the channel simulation capability is expanded to load perception channel simulation, enabling the channel simulator to generate simulated echoes for perception testing. Finally, based on the synaesthesia integration scenario simulated by the channel simulator, a comprehensive evaluation of the synaesthesia integration base station communication and perception functions was completed.

2. The synaesthesia integrated testing method based on a channel simulator according to claim 1, characterized in that: The specific steps are as follows: Step 1: Deploy the integrated base station and load the N r Receive antennas and N t Communication channel model of root transmitting antenna The communication channel model is loaded to simulate the communication link, where t and τ represent time and delay; Step 2: Use the channel simulator to load the N r Receive antennas and N t Perceptual channel model of the root transmitting antenna Generate deceptive echoes to simulate perceived targets; Step 3: Adjust the time delay τ and Doppler frequency shift parameter f d ,simulate sensing targets at different distances and speeds; Step 4: Evaluate the joint communication and perception capabilities of the synesthesia integrated base station; wherein, the synesthesia integrated base station receives deceptive echoes using its receiving antenna to evaluate the perception performance of the base station; and uses a user terminal simulator to receive simulated communication signals to evaluate the communication performance.

3. The synaesthesia integrated testing method based on a channel simulator according to claim 2, characterized in that: The calculation formula is as follows: Among them, the superscript c Represents the communication channel, N c and q represent the number and index of the path in the communication channel respectively, n r and n t are the index subscripts of the receiving and transmitting antennas respectively, and denote the amplitude and delay of the qth path respectively, and Represent the arrival and departure space vectors of the qth path, represents the Doppler frequency of the qth path, F v (·) and F H (·) are the antenna patterns of vertical and horizontal polarization, respectively, and k q is the cross-polarization power ratio, is a random phase uniformly distributed on (0, 2π], the superscript T is the transpose, j is the imaginary unit, e is a natural constant, δ is the impulse function, Indicates the nth r The angle of arrival received by the receiving antenna is The vertical polarization receiving gain of the qth multipath channel is, Indicates the nth r The angle of arrival received by the receiving antenna is The horizontal polarization receiving gain of the qth multipath channel is: Indicates the nth t The starting angle of the transmitting antenna is The vertical polarization transmission gain of the qth multipath channel is, Indicates the nth t The starting angle of the transmitting antenna is The horizontal polarization transmission gain of the qth multipath channel is, Denotes the qth multipath channel with a delay τ q c The channel impulse response generated by arrival.

4. The synaesthesia integrated testing method based on a channel simulator according to claim 3, characterized in that: The calculation formula is as follows: Where, the superscript s represents the sensing channel, N s and l represent the number and index of the echo path in the sensing channel at time t, respectively. and represent the amplitude and time-varying delay of the corresponding path at time t, and σ l (t) represents the arrival space vector, departure space vector and radar cross section RCS of the path at time t, represents the instantaneous Doppler frequency of the corresponding path at time t, F v (·) and F H (·) are the antenna patterns of vertical and horizontal polarization, respectively, and κ l is the cross-polarization power ratio, is a random phase uniformly distributed on (0, 2π], Indicates the nth r The angle of arrival received by the receiving antenna is The vertical polarization receiving gain of the lth multipath channel is, Indicates the nth r The angle of arrival received by the receiving antenna is The horizontal polarization receiving gain of the lth multipath channel is, Indicates the nth t The starting angle of the transmitting antenna is The vertical polarization transmission gain of the lth multipath channel is, Indicates the nth t The starting angle of the transmitting antenna is The horizontal polarization transmission gain of the lth multipath channel is, It means that the qth multipath channel at time t has a delay of The channel impulse response generated by arrival.

5. The synaesthesia integrated testing method based on a channel simulator according to claim 4, characterized in that: It also includes the measurement and verification of the delay simulated by the channel simulator by the integrated base station, where the instantaneous power delay spectrum at time t0 is The calculation formula is as follows: Among them, N f is the measurement frequency of the vector network analyzer VNA, f n is the nth frequency point measured by VNA, H s (t0,f n ) is the channel frequency response CFR measured between two ports of the vector network analyzer, H a (f n ) is the calibration vector, H w (f n ) is the window function vector.

6. The synaesthesia integrated testing method based on a channel simulator according to claim 4, characterized in that: It also includes the measurement and verification of the Doppler frequency simulated by the channel simulator by the integrated base station, wherein the Doppler frequency shift spectrum S(f d ) is calculated as follows: Among them, N sn is the number of channel snapshots, H s (t n , f c ) is the vector network analyzer at t n Time frequency f c The channel frequency response CFR, f c is the set center frequency, H a (f c ) is the calibration vector, f d is the Doppler frequency.

7. The synaesthesia integrated testing method based on a channel simulator according to claim 1, characterized in that: The communication channel model and the perception channel model include communication multipath parameters and perception target characteristics.

8. A synaesthesia integrated testing system based on a channel simulator, characterized in that: It includes a telepathic integrated base station, a channel simulator and a user terminal simulator; among which, A telepathic base station is used to transmit communication and perception signals and receive deceptive echoes simulated by a channel simulator to evaluate the perception performance of the telepathic base station. The channel simulator is used to load the communication channel model and the perception channel model, modulate the communication and perception signals, generate communication multipath signals, and generate deceptive echoes to simulate the perception target; it simulates different propagation scenarios by adjusting the time delay and Doppler frequency shift; The user terminal simulator is used to evaluate the communication performance of the telepathic integrated base station based on the communication multipath signal simulated by the received channel simulator.

9. A computer device comprising a memory, a processor, and a computer program stored in the memory and capable of running on the processor, characterized in that: When the processor executes the computer program, the steps of the synaesthesia integration testing method based on the channel simulator are implemented as described in any one of claims 1 to 7.

10. A computer-readable storage medium storing a computer program, characterized in that: When the computer program is executed by a processor, the steps of the synaesthesia integration testing method based on a channel simulator are implemented as claimed in any one of claims 1 to 7.

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