Method and device for increasing dead zone area of air interface performance test of communication equipment

Abstract

The invention provides a method and device for increasing the area of an air interface performance test quiet zone of communication equipment, and solves the problems that in the prior art, the area of a multi-probe darkroom test quiet zone is too small and the test quiet zone cannot be moved. The invention discloses a method for increasing the area of an air interface performance test quiet zone of communication equipment. The method comprises the following steps: acquiring dynamic quiet zone position information; determining theoretical spatial correlation of virtual antenna pairs in the dynamic quiet zone according to the position information of the dynamic quiet zone; calculating the reconstruction spatial correlation of the virtual antenna pair according to the preset weight of the probe; and optimizing the weight of the probe for the optimization target according to the minimum difference value. The problem that the cost of the test system is greatly increased due to the fact that the tested device needs to move back and forth to change the position due to too small area of the quiet zone in the test process is avoided.

Description

Technical Field

[0001] This application relates to the field of wireless communication technology, and in particular to a method and apparatus for increasing the quiet zone area for air interface performance testing of communication equipment. Background Technology

[0002] With the rapid development of intelligent connected vehicle technology, in-vehicle wireless communication systems play a crucial role in vehicle safety, autonomous driving capabilities, and user experience. Intelligent connected vehicles typically rely on various wireless communication technologies, such as cellular networks, Wi-Fi, and V2X (Vehicle-to-Everything), to achieve efficient data interaction between vehicles and other vehicles, infrastructure, pedestrians, and cloud platforms. Multiple-input multiple-output (MIMO) technology, as a core technology of modern wireless communication systems, can significantly improve the capacity, data rate, and reliability of communication systems by transmitting and receiving signals through multiple antennas. Because vehicles are affected by various complex wireless propagation environments during actual driving (such as multipath effects and Doppler frequency shift), traditional conducted testing methods are difficult to realistically simulate the communication performance of vehicles in real-world environments. Furthermore, the highly integrated system architecture makes traditional single-module testing methods inapplicable. Over-the-Air (OTA) testing with multiple antennas can provide a comprehensive and accurate performance evaluation of the entire vehicle's wireless communication system without disassembling the vehicle, providing crucial technical support for vehicle design, optimization, and quality control. Therefore, MIMO OTA performance testing for intelligent connected vehicles has become a necessary testing method, which is crucial to ensuring that intelligent connected vehicles have stable communication capabilities and reliable networking performance in real road environments.

[0003] For MIMO OTA testing of large-size communication devices, such as complete vehicles, the methods are generally divided into the multi-probe anechoic chamber method and the radiation two-step method. The limitation of the multi-probe anechoic chamber method in MIMO OTA performance testing of large-size communication devices is that the quiet zone area that can be formed under the condition of a certain number of probes is limited. When the size of the communication device under test is too large, it is impossible to include all the cellular communication antennas of the device under test within the quiet zone. Increasing the number of probes will lead to a sharp increase in testing costs. The quiet zone refers to the area where the difference between the wireless channel characteristic value reconstructed by the probe and the theoretical value is less than a certain value. Within this area, the accuracy of wireless channel reconstruction is considered to be high.

[0004] Therefore, a solution is needed to increase the quiet zone area for air interface performance testing of communication equipment without changing the hardware. Summary of the Invention

[0005] This application proposes a method and apparatus for increasing the quiet zone area for air interface performance testing of communication equipment, which solves the problem that the probe position is difficult to adjust when the antenna position of the communication equipment under test is not in the center of the quiet zone in the prior art.

[0006] In a first aspect, embodiments of this application provide a method for increasing the quiet zone area for air interface performance testing of communication equipment, comprising the following steps: Obtain dynamic quiet zone location information; The theoretical spatial correlation of virtual antenna pairs in a dynamic quiet zone is determined based on the location information of the dynamic quiet zone. The reconstructed spatial correlation of the virtual antenna pair is calculated based on the preset weights of the probes; The probe weights are optimized with the goal of minimizing spatial correlation error.

[0007] Preferably, before optimizing and testing the probe weights at the dynamic quiet zone location, vertically polarized and horizontally polarized antennas are placed to calibrate the dynamic quiet zone.

[0008] In one embodiment, determining the reconstructed spatial correlation of the virtual antenna pair also requires determining the transmission coefficient from the probe to the virtual antenna pair. The transmission coefficient is determined using the probe's position information; the position information is the probe's position coordinates corresponding to the center of the dynamic quiet zone.

[0009] In one embodiment, the amplitude phase of each probe to the center of the dynamic still zone is the same.

[0010] In one embodiment, the step of: The probe is optimized by target weight, and the location of the test quiet zone is changed.

[0011] In one embodiment, the corresponding calibration file and channel model are imported into the channel simulator according to the target weight.

[0012] Secondly, embodiments of this application also provide a device for increasing the quiet zone for air interface performance testing of communication equipment, used to implement the method for increasing the quiet zone area for air interface performance testing of communication equipment as described in any embodiment of the first aspect, comprising: an acquisition module for acquiring dynamic quiet zone location information; a determination module for determining the reconstructed spatial correlation of virtual antenna pairs according to preset weights of different probes; and a calculation module for calculating the theoretical spatial correlation of virtual antenna pairs in the dynamic quiet zone based on the dynamic quiet zone location information; and further for optimizing the probe weights with the goal of minimizing spatial correlation error.

[0013] Furthermore, the determining module is also used to determine the transmission coefficient from the probe to the virtual antenna pair using the probe's position information.

[0014] This application also provides a computer-readable storage medium having a computer program stored thereon that, when executed by a processor, implements the method described in any of the embodiments of the first aspect.

[0015] This application also provides an electronic device, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement the method described in any of the embodiments of the first aspect.

[0016] The above-described technical solutions adopted in the embodiments of this application can achieve the following beneficial effects: This application addresses the horizontal angle that the device under test (DUT) needs to rotate during testing, the translation of the quiet zone area that needs optimization, the optimization of probe weights based on the reselected quiet zone area, and the generation of a corresponding channel model. This increases the total quiet zone area to four times the original size, avoiding the need for the DUT to move back and forth to change its position during testing due to the small quiet zone area (by placing the DUT's cellular antenna within the quiet zone), which would otherwise significantly increase the cost of the testing system. Attached Figure Description

[0017] The accompanying drawings, which are included to provide a further understanding of this application and form part of this application, illustrate exemplary embodiments and are used to explain this application, but do not constitute an undue limitation of this application. In the drawings: Figure 1 This is a flowchart illustrating a method for increasing the quiet zone area for air interface performance testing of communication equipment according to an embodiment of this application. Figure 2 This is a schematic diagram illustrating the reselection of the quiet zone area for the probe in an embodiment of this application; Figure 3-1 This is a schematic diagram of the calibration of the quiet zone position 1 in an embodiment of this application; Figure 3-2 This is a schematic diagram of the calibration of the quiet zone position 2 in an embodiment of this application; Figure 3-3 This is a schematic diagram of the test for quiet zone position 2 in an embodiment of this application; Figure 3-4 This is a schematic diagram of the test of quiet zone position 3 in an embodiment of this application; Figure 4 This is a structural diagram of a device for increasing the quiet zone for air interface performance testing of communication equipment, according to an embodiment of this application. Figure 5 This application provides an embodiment of a multi-probe anechoic chamber testing system for large-size communication devices. Figure 6 This is a schematic diagram of the structure of an electronic device provided in an embodiment of this application. Detailed Implementation

[0018] To make the objectives, technical solutions, and advantages of this application clearer, the technical solutions of this application will be clearly and completely described below in conjunction with specific embodiments and corresponding drawings. Obviously, the described embodiments are only a part of the embodiments of this application, and not all of them. Based on the embodiments in this application, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this application.

[0019] The technical solutions provided by the various embodiments of this application are described in detail below with reference to the accompanying drawings.

[0020] Example 1 Figure 1 This application provides a flowchart of a method for increasing the quiet zone area for air interface performance testing of communication equipment, comprising the following steps: Step 110: Obtain dynamic still zone location information; like Figure 2 As shown, the original quiet zone has been shifted. The shaded area is the original quiet zone region 21 before the shift (located in the center of the darkroom), and the non-shaded area is the dynamic quiet zone region 22 (not located in the center of the darkroom) shifted in different directions.

[0021] The dynamic quiet zone refers to a new quiet zone whose center point is shifted, constructed by optimizing the probe excitation weights through an algorithm relative to the original quiet zone based on the physical center of the anechoic chamber.

[0022] It should be noted that the first dot 23 is the center point of the original quiet zone and the second dot 24 is the center point of the dynamic quiet zone. For example, when dealing with large-sized communication equipment such as a whole vehicle, since neither the size of the original quiet zone nor the dynamic quiet zone can cover the whole vehicle, it is necessary to ensure that the antenna of the whole vehicle is located within the dynamic quiet zone. The purpose is to adjust only the weight of the probe rather than the position of the probe when rotating the turntable to place the communication equipment.

[0023] The core of dynamic quiet zone is that the physical position of the probe remains unchanged. By simply calculating and loading different combinations of probe weights, the effective area of ​​the quiet zone can be moved from the center of the darkroom to other predetermined positions. This allows for a several-fold expansion of the test coverage without increasing hardware costs, thus adapting to the testing needs of large-sized equipment at different rotation angles.

[0024] Step 120: Determine the theoretical spatial correlation of virtual antenna pairs in the dynamic quiet zone based on the dynamic quiet zone location information; The virtual antenna pair refers to a pair of virtual antenna elements artificially defined during the spatial channel modeling process to calculate spatial correlation.

[0025] It should be noted that the virtual antenna pair is not an actual physical antenna, but a mathematical abstract model used in the algorithm to characterize the channel characteristics between specific two points within the quiet zone.

[0026] The theoretical spatial correlation refers to the ideal theoretical value, calculated in advance based on the wireless channel model, representing the spatial signal correlation between virtual antenna pairs, relative to the measured spatial correlation obtained through probe reconstruction.

[0027] Theoretical spatial correlation is not obtained through actual measurement or probe synthesis, but rather is a target expectation value rigorously derived mathematically based on selected channel model parameters (such as direction of arrival and angular power spectrum) and the spatial geometric relationship of the antenna pairs. It provides a precise target for optimizing probe weights and is the fundamental benchmark for evaluating the accuracy of channel reconstruction.

[0028] For example, by calculating the theoretical correlation (based on the channel model) and reconstruction correlation (based on the probe weights) of the signals received by this pair of virtual antennas, the accuracy of the probe system in reconstructing the wireless channel environment at this location can be quantitatively evaluated, thus providing a precise mathematical basis for optimizing the probe weights.

[0029] In one embodiment, the position and weight of the probe are determined by a prefading algorithm, the main purpose of which is to accurately construct the wireless channel environment within the quiet zone.

[0030] The pre-fading method uses the difference between the spatial correlation synthesized by the probe and the theoretical spatial correlation as a performance indicator to evaluate whether the wireless channel environment is accurately reconstructed.

[0031] For example, if there are M pairs of virtual antennas within the quiet zone, the theoretical spatial correlation of the m-th pair of antennas can be expressed as: Formula 1 in, Indicates wavelength. The incoming wave direction vector is the channel model. and These represent the position coordinates of the u-th and v-th antenna elements, respectively. This represents the angular power spectrum in the direction of arrival. It should be noted that it is assumed that all antenna elements are omnidirectional antennas.

[0032] In one embodiment, determining the reconstructed spatial correlation of the virtual antenna pair also requires determining the transmission coefficient from the probe to the virtual antenna pair.

[0033] The transmission coefficient is determined by the probe's position information; the position information is the probe's position coordinates corresponding to the center of the dynamic static zone.

[0034] For example, suppose there are N available probes. Let n represent the position vector of the nth probe. The transmission coefficient between the nth OTA probe and the mth antenna pair is shown in the following formula: Formula 2 Step 130: Calculate the reconstructed spatial correlation of the virtual antenna according to the preset weights of different probes.

[0035] The preset weight of the probe includes the weight of all the probes, and the sum of the weights of all the probes is 1.

[0036] The reconstructed spatial correlation refers to the simulated value, calculated by combining probe weights and transmission coefficients, relative to the theoretical spatial correlation, that characterizes the spatial signal correlation between virtual antenna pairs.

[0037] The reconstructed spatial correlation does not originate from theoretical model derivation, but rather from the statistical characteristics exhibited by the superposition and synthesis of actual transmitted signals from multiple probes within an anechoic chamber at the target quiet zone location. By optimizing the probe weights, the reconstructed value can be made infinitely close to the theoretical value, thereby accurately reconstructing the required wireless channel environment within a specified quiet zone area. In summary, the spatial correlation of the m-th antenna pair reconstructed from probes at different locations within the anechoic chamber is: Formula 3 in, Transmission coefficient, This represents the weights of N probes, and the sum of the probe weights must be 1.

[0038] Step 140: Optimize the probe weights with the goal of minimizing spatial correlation error.

[0039] For example, calculate the difference between the reconstructed spatial correlation and the theoretical spatial correlation of several pairs of virtual antennas, and determine the preset weight corresponding to the minimum cumulative value of the difference as the target weight.

[0040] Therefore, the optimization problem of probe weights is transformed into solving the following equation: Formula 4 In one embodiment, after determining the target weight in step 140, the method further includes the following steps: Step 150: Optimize the probe by adjusting the target weight and change the position of the test quiet zone.

[0041] After optimizing the probe position and weights using the center of the anechoic chamber as the original quiet zone center, the core idea of ​​quiet zone enlargement is to shift the quiet zone position in different directions or select any point outside the original quiet zone as the center of the dynamic quiet zone to re-determine a quiet zone. Therefore, the probe weights are re-optimized to obtain the probe weights corresponding to the new quiet zone position. Several points need attention during the re-optimization of the quiet zone position: 1) To avoid moving the probe position during the testing of the device under test, the probe position remains unchanged when re-optimizing the probe weight for the new quiet zone position; 2) During the calibration process, both vertically polarized and horizontally polarized antennas need to be placed for the initial quiet zone center and the translated quiet zone center to complete the calibration, ensuring that the amplitude and phase of each probe to the quiet zone center are the same under different quiet zone positions.

[0042] Therefore, preferably, the dynamic quiet zone position is calibrated by placing vertically polarized and horizontally polarized antennas before optimizing the probe weights for the dynamic quiet zone position.

[0043] In one embodiment, the amplitude phase of each probe to the center of the dynamic still zone is the same.

[0044] 3) During the probe optimization process, for the new quiet zone area formed by translation, the probe position coordinates corresponding to the center of the new optimized area need to be changed, and the radius of each probe from the center of the new quiet zone needs to be updated.

[0045] 4) During the performance test, for each re-optimized quiet zone center, the corresponding calibration file and channel model need to be imported into the channel simulator according to the re-optimized probe weights to complete the test.

[0046] In one embodiment, the corresponding calibration file and channel model are imported into the channel simulator according to the target weight.

[0047] Example 2 This application addresses the issue of quiet zone size in multi-probe testing of large-size communication equipment by proposing a dynamic quiet zone scheme. The scheme optimizes different quiet zone ranges based on the location of the device under test during the testing process, calculates the corresponding probe weights, generates a corresponding channel model, and constructs a larger quiet zone area to meet the testing requirements of large-size communication equipment while reducing the cost of anechoic chamber construction.

[0048] For example, this embodiment takes the MIMO OTA performance test applied to the whole vehicle as an example.

[0049] The strategy and steps of this invention for increasing the quiet zone area of ​​large-size communication devices during multi-probe testing are as follows: A) Determine the locations of different quiet zones that need to be optimized based on the required locations for testing large-size communication equipment; That is, to find the location of the center of the dynamic quiet zone based on the location of the antenna of the large-size communication equipment.

[0050] B) According to the quiet zone location determined in step A), place the vertically polarized and horizontally polarized antennas at the center of different quiet zones, and use a vector network analyzer to complete the calibration process and store the calibration data. C) Optimize the probe position based on the center of the quiet zone being the center of the darkroom and the required quiet zone radius, and move the probe to the corresponding position and keep it unchanged; It should be noted that the probe movement process is an initial process, a probe position adjustment process when the quiet zone is in the center position before the dynamic quiet zone. Once the probe position is determined, the position will not change with the change of the quiet zone.

[0051] D) Based on the dynamic quiet zone position determined in step A) and the probe position obtained by optimization in step C), with the quiet zone radius unchanged, the probe weights for different quiet zone positions are obtained by sequential optimization, and the channel model corresponding to different quiet zone positions is generated. E) Place the test object in the center of the darkroom, import the calibration data and channel model file of the corresponding position into the channel simulator, and complete the performance test of the test vehicle at that position. F) Based on the angle that the vehicle under test needs to rotate to the next test position, import the corresponding position calibration data and channel model file into the channel simulator, and so on, to complete the performance test of the vehicle under test in different positions.

[0052] The calibration diagrams for the quiet zones at different locations are shown in the figure below, as are the corresponding test diagrams.

[0053] Figure 3-1 This is a schematic diagram of the calibration of the quiet zone position 1 in the embodiment of this application.

[0054] The quiet zone is located at the center of the anechoic chamber, which is the initial quiet zone position before the quiet zone is moved. The calibration process involves placing the calibration antenna at the center of the quiet zone to complete the calibration, ensuring that the amplitude and phase of all probes to the center of the quiet zone are the same.

[0055] Figure 3-2 This is a schematic diagram of the calibration of the quiet zone position 2 in an embodiment of this application.

[0056] The quiet zone position is the quiet zone position after shifting the original quiet zone position to the right. The calibration antenna needs to be placed in the center of the new quiet zone position to complete the calibration.

[0057] Figure 3-3 This is a test diagram of quiet zone position 1 in an embodiment of this application, ensuring that the antenna of the antenna device under test is within the quiet zone.

[0058] Figure 3-4 This is a schematic diagram of the test of quiet zone position 2 in an embodiment of this application.

[0059] When the antenna of the communication device under test is in front of the device, changing the position of the quiet zone can ensure that the antenna under test is within the quiet zone, avoid moving the device under test back and forth, and significantly reduce the testing cost.

[0060] Figure 4 This application provides a structural diagram of a device for increasing the quiet zone area for air interface performance testing of communication equipment, used to implement the method for increasing the quiet zone area for air interface performance testing of communication equipment as described in any embodiment of the first aspect, comprising: The acquisition module 410 is used to acquire dynamic quiet zone location information.

[0061] The determination module 420 is used to determine the reconstructed spatial correlation of the virtual antenna based on the preset weights of different probes.

[0062] The calculation module 430 is used to calculate the theoretical spatial correlation of the virtual antenna in the dynamic quiet zone based on the dynamic quiet zone location information; it is also used to optimize the probe weight based on minimizing the difference as the optimization objective.

[0063] Furthermore, the acquisition module also includes a first acquisition unit for acquiring dynamic quiet zone location information.

[0064] The determining module further includes a first determining unit, which is used to determine the reconstructed spatial correlation of the virtual antenna according to the preset weights of different probes.

[0065] The calculation module further includes a first calculation unit and a second calculation unit. The first calculation unit is used to calculate the theoretical spatial correlation of the virtual antenna in the dynamic quiet zone based on the dynamic quiet zone location information.

[0066] The second calculation unit is used to optimize the probe weights based on minimizing the difference as the optimization objective.

[0067] Furthermore, the determining module also includes a second determining unit, used to determine the transmission coefficient from the probe to the virtual antenna pair based on the probe's position information.

[0068] In one embodiment, this application provides a multi-probe anechoic chamber testing system for large-size communication devices, specifically as follows: Figure 5 As shown, the specific components include: Base station simulator 51 is used to simulate the signal transmission of a real base station in an outdoor environment. Different standards, bandwidths, base station parameters, time and frequency domain resources can be configured according to test requirements.

[0069] The channel simulator 52 is used to simulate the characteristics of wireless channels, such as multipath fading and Doppler frequency offset. Together with probes located in different spatial positions in the anechoic chamber, it reconstructs the spatial channel characteristics, thereby achieving the purpose of reconstructing the wireless channel environment in the anechoic chamber and completing the MIMO OTA performance test of the device under test.

[0070] The radio frequency and antenna module 53 includes a power amplifier to compensate for path loss caused by a large anechoic chamber. In particular, the radius of the anechoic chamber used for testing large-size communication equipment is generally larger than that used for testing wireless terminals. Antenna probes located at different positions in the anechoic chamber are used to radiate electromagnetic signals to form a specific wireless channel environment around the object under test.

[0071] Those skilled in the art will understand that embodiments of the present invention can be provided as methods, systems, or computer program products. Therefore, the present invention can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present invention can take the form of a computer program product embodied 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.

[0072] Therefore, this application also proposes a computer-readable storage medium having a computer program stored thereon that, when executed by a processor, implements the methods described in any embodiment of this application.

[0073] Furthermore, this application also proposes an electronic device, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement the method described in any embodiment of this application.

[0074] This invention is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations 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, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, generate instructions for implementing the flowchart illustrations and / or block diagrams. Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.

[0075] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1 The function specified in one or more boxes.

[0076] These computer program instructions may also be loaded onto a computer or other programmable data processing equipment to cause a series of operational steps to be performed on the computer or other programmable equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable equipment for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.

[0077] In a typical configuration, a computing device includes one or more processors (CPUs), input / output interfaces, network interfaces, and memory. Memory may include non-persistent storage in computer-readable media, such as random access memory (RAM) and / or non-volatile memory, such as read-only memory (ROM) or flash RAM. Memory is an example of computer-readable media.

[0078] Figure 6 This is a schematic diagram of the structure of an electronic device provided in an embodiment of this application. The electronic device 500 shown is merely an example and should not impose any limitations on the function and scope of use of the embodiments of this application. It includes: one or more processors 620; a storage device 610 for storing one or more programs, which, when run by the one or more processors 620, enable the one or more processors 620 to implement the method for increasing the quiet zone area for air interface performance testing of communication devices provided in the embodiments of this application, including the following steps: Obtain dynamic quiet zone location information; The theoretical spatial correlation of virtual antennas in a dynamic quiet zone is determined based on the location information of the dynamic quiet zone. The reconstructed spatial correlation of the virtual antenna is calculated based on the preset weights of different probes; The probe weights are optimized based on minimizing the difference.

[0079] The electronic device 600 also includes an input device 630 and an output device 640; the processor 620, storage device 610, input device 630 and output device 640 in the electronic device can be connected by a bus or other means, as shown in the figure, which is connected by a bus 650.

[0080] Storage device 610, as a computer-readable storage medium, can be used to store software programs, computer-executable programs, and module units, such as the program instructions corresponding to the method for increasing the quiet area of ​​the air interface performance test of communication equipment in the embodiments of this application. Storage device 610 may mainly include a program storage area and a data storage area. The program storage area may store the operating system and at least one application program required for a function; the data storage area may store data created based on the use of the terminal, etc. Furthermore, storage device 610 may include high-speed random access memory and may also include non-volatile memory, such as at least one disk storage device, flash memory device, or other non-volatile solid-state storage device. In some instances, storage device 610 may further include memory remotely located relative to processor 620, and these remote memories can be connected via a network. Examples of such networks include, but are not limited to, the Internet, corporate intranets, local area networks, mobile communication networks, and combinations thereof.

[0081] Input device 630 can be used to receive input digital, character, or voice information, and to generate key signal inputs related to user settings and function control of the electronic device. Output device 640 may include electronic devices such as a display screen and a speaker.

[0082] It should also be noted that the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes said element.

[0083] Those skilled in the art will understand that, unless otherwise stated, the singular forms “a,” “an,” “the,” and “the” used herein may also include the plural forms. It should be understood that when a device or component is “connected” to another device or component, it may be directly connected to the other device or component, or there may be an intermediary device or component. Furthermore, the term “connection” as used herein may include partially wireless connections as well as partially wired connections.

[0084] In the description of this application, it should be understood that the terms "first," "second," etc., are used for descriptive purposes only and should not be construed as indicating or implying relative importance. Those skilled in the art can understand the specific meaning of the above terms in this application based on the specific circumstances. Furthermore, in the description of this application, unless otherwise stated, "multiple" refers to two or more. "And / or" describes the relationship between related objects, indicating that three relationships can exist. For example, A and / or B can represent: A existing alone, A and B existing simultaneously, or B existing alone. The character " / " generally indicates that the preceding and following related objects are in an "or" relationship.

[0085] The above description is merely an embodiment of this application and is not intended to limit the scope of this application. Various modifications and variations can be made to this application by those skilled in the art. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of this application should be included within the scope of the claims of this application.

Claims

1. A method for increasing the quiet zone area for air interface performance testing of communication equipment, characterized in that, Includes the following steps: Obtain dynamic quiet zone location information; The theoretical spatial correlation of virtual antenna pairs in a dynamic quiet zone is determined based on the location information of the dynamic quiet zone. The reconstructed spatial correlation of the virtual antenna pair is calculated based on the preset weights of the probes; The probe weights are optimized with the goal of minimizing spatial correlation error.

2. The method for increasing the quiet zone area for air interface performance testing of communication equipment according to claim 1, characterized in that, Before optimizing and testing the probe weights for the dynamic quiet zone position, vertically polarized and horizontally polarized antennas are placed to calibrate the dynamic quiet zone position.

3. The method for increasing the quiet zone area for air interface performance testing of communication equipment according to claim 1, characterized in that, Determining the reconstructed spatial correlation of the virtual antenna pair also requires determining the transmission coefficient from the probe to the virtual antenna pair; The transmission coefficient is determined by the probe's position information; the position information is the probe's position coordinates corresponding to the center of the dynamic static zone.

4. The method for increasing the quiet zone area for air interface performance testing of communication equipment according to claim 1, characterized in that, The amplitude and phase of each probe to the center of the dynamic static zone are the same.

5. The method for increasing the quiet zone area for air interface performance testing of communication equipment according to claim 1, characterized in that, It also includes the following steps: The probe is optimized by target weight, and the location of the test quiet zone is changed.

6. The method for increasing the quiet zone area for air interface performance testing of communication equipment according to claim 1, characterized in that, Import the corresponding calibration file and channel model into the channel simulator according to the target weight.

7. A device for increasing the quiet zone area for air interface performance testing of communication equipment, used to implement the method for increasing the quiet zone area for air interface performance testing of communication equipment as described in any one of claims 1 to 7, characterized in that, include: The acquisition module is used to acquire dynamic quiet zone location information; The determination module is used to determine the reconstructed spatial correlation of the virtual antenna pair based on the preset weights of the probes; The calculation module is used to calculate the theoretical spatial correlation of virtual antenna pairs in the dynamic quiet zone based on the dynamic quiet zone location information; It is also used to calculate the difference between the reconstructed spatial correlation and the theoretical spatial correlation of several pairs of virtual antennas, and to determine the minimum difference as the optimization target for optimizing the probe weight.

8. The device for increasing the quiet zone for air interface performance testing of communication equipment according to claim 7, characterized in that, The determining module is also used to determine the transmission coefficient from the probe to the virtual antenna pair based on the probe's position information.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the program is executed by the processor, it implements the method as described in any one of claims 1-6.

10. An electronic device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that, When the processor executes the computer program, it implements the method as described in any one of claims 1-6.

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