Digital receive equalization method and apparatus based on large scale digital array antenna

Abstract

This invention provides a digital receiver trimming method and apparatus based on a large-scale digital array antenna, comprising: acquiring digital signals at different frequencies of each antenna element and digital signals at different frequencies of a reference channel at the same time through two links, and obtaining the relative amplitude and relative phase of each element; grouping the elements according to the same digital channel and obtaining the trimming data of the elements within the digital channel; burning the trimming data of the elements within the digital channel into the corresponding digital channel sub-wave controller, adjusting the probe position and the gain or attenuation of the links, acquiring digital signals at different frequencies of each digital channel and digital signals at different frequencies of the reference channel at the same time, obtaining the relative digital signal of each digital channel, and then performing signal trimming. This eliminates the amplitude and phase errors caused by the synthesis of multiple element patterns corresponding to a digital channel, reduces the loss caused by the synthesis of the entire array pattern, and effectively improves antenna beam pointing, sidelobe level, and other parameters.

Description

Technical Field

[0001] This invention relates to the field of signal processing technology, and more specifically, to a digital receiver trimming method and apparatus based on a large-scale digital array antenna. Background Technology

[0002] In recent years, the application of digital array phased array radar has become relatively mature. To meet the increasing system requirements and long-range detection of digital phased array radar, its antenna operating frequency band is becoming wider and wider, and the array size is becoming larger and larger.

[0003] Currently, during the data acquisition process for balancing, the channel data acquisition time reaches tens of hours. External and antenna temperature variations become significant interference factors, directly leading to substantial errors in the amplitude and phase of the unit acquisition. When the array size is large, these errors will exhibit periodic variations due to the periodic temperature changes, which will have a certain impact on the antenna efficiency, sidelobe level, and beam pointing after antenna pattern synthesis. Summary of the Invention

[0004] To address the shortcomings of existing technologies, the purpose of this invention is to provide a digital receiver trimming method and apparatus based on a large-scale digital array antenna.

[0005] In a first aspect, embodiments of this application provide a digital receiver trimming method based on a large-scale digital array antenna, comprising:

[0006] Step 1: Build the unit-level digital receiver probe data acquisition link and the reference channel digital receiver data acquisition link, and adjust the gain or attenuation of the two links to ensure that the two links are not saturated and maintain stable signal consistency.

[0007] Step 2: By using the probe movement and frequency hopping function of the frequency synthesizer, the first digital signal of each antenna element at different frequency points and the second digital signal of the reference channel at different frequency points at the same time are collected sequentially and individually.

[0008] Step 3: Convert the first digital signal and the second digital signal into corresponding amplitude and phase using a numerical solution algorithm, and then obtain the relative amplitude and relative phase of each antenna element by comparison;

[0009] Step 4: Group the cells according to the same digital subarray, and then balance them according to the relative amplitude and relative phase of the cells within the subarray to obtain the balance data of the cells within the subarray.

[0010] Step 5: Burn the balancing data of the subarray units into the corresponding subarray beam control, adjust the probe position and the gain or attenuation of the link, turn on all the units corresponding to each digital channel in turn, and collect the third digital signal at different frequency points of each digital channel, as well as the fourth digital signal at different frequency points of the reference channel at the same time.

[0011] Step 6: Compare the third digital signal and the fourth digital signal to obtain the relative digital signal of each digital channel, and then balance the relative digital signals of all digital channels to obtain the balance data of the digital channels.

[0012] Step 7: Burn the trim data of the digital channel into the digital beam combiner (DBF), and then use near-field testing methods and data processing algorithms to obtain the digital receiving pattern to determine the correctness of the trim data.

[0013] Optionally, step 1 includes:

[0014] Step 1.1: Based on the near-field data acquisition principle of the antenna, construct the unit-level digital receiving probe data acquisition link and the reference channel digital receiving data acquisition link;

[0015] Step 1.2: When the signal saturation of the two links is measured, adjust the attenuator A in the digital receiver acquisition link of the reference channel and the attenuator B in the digital receiver acquisition link of the unit-level digital receiver probe respectively, so as to maintain the digital acquisition saturation value at 1 / 4 to 1 / 2 position and the relative value of the measured signal with respect to the reference signal is stable.

[0016] Optionally, in step 2, the first digital signal of the antenna element in the m-th row and n-th column at different frequency points is denoted as: (I mn Q mn f i ), f i Let m represent the i-th frequency point, where i is a natural number greater than 0; where m = 1, 2, 3….U, n = 1, 2, 3….V, U represents the total number of rows of antenna elements, and V represents the total number of columns of antenna elements;

[0017] Let the second digital signal of the antenna element in row m and column n at different frequency points of the reference channel at the same time be denoted as: (I * mn Q * mn f i ).

[0018] Optionally, the following conversion formula is satisfied in step 3:

[0019] (ΔA mn f i )=(A mn f i)-(A * mn f i );

[0020] (ΔΨ mn f i )=(Ψ mn f i )-(Ψ * mn f i );

[0021] Among them, (ΔA) mn f i ) indicates at frequency point f i The relative amplitude of the antenna element in the m-th row and n-th column, (A mn f i ) indicates at frequency point f i The amplitude of the first digital signal of the antenna element in the m-th row and n-th column, (A * mn f i ) indicates at frequency point f i The amplitude of the second digital signal of the antenna element in the m-th row and n-th column; (ΔΨ) mn f i ) indicates at frequency point f i The relative phase of the antenna elements in the m-th row and n-th column, (Ψ mn f i ) indicates at frequency point f i The phase of the first digital signal of the antenna element in the m-th row and n-th column, (Ψ * mn f i ) indicates at frequency point f i The phase of the second digital signal of the antenna element in the m-th row and n-th column.

[0022] Optionally, step 4 includes:

[0023] Each unit f in the entire array i The relative amplitude of the frequency point (ΔA) mn f i ) and relative phase (ΔΨ) mn f i The cells corresponding to the same digital channel are arranged into M*N groups, where m = a*M and n = b*N; M and N are natural numbers greater than 1.

[0024] According to the number channel (M,N) in row M and column N, the cell f i The relative amplitude of the frequency point (ΔA) M_a,N_b f i ) and relative phase (ΔΨ)M_a,N_b f i Perform normalized balancing to obtain the unit f within the digital channel (M,N). i The frequency balance data is denoted as the normalized amplitude (ΔA). M_a,N_b f i ) * and normalized phase (ΔΨ) M_a,N_b f i ) * The normalized balancing formula is as follows:

[0025] (ΔA M_a,N_b f i ) * =(ΔA) M_a,N_b f i )-(ΔA M_a,N_b f i ) 最小值 ,

[0026] (ΔΨ M_a,N_b f i ) * =(ΔΨ) M_a,N_b f i )-(ΔΨ M_a,N_b f i ) 最小值 ,

[0027] In the formula, (ΔA) M_a,N_b f i ) 最小值 Represents the cell f within the digital channel (M,N) i The minimum relative amplitude at the frequency point, (ΔΨ) M_a,N_b f i ) 最小值 Represents the cell f within the digital channel (M,N) i The minimum relative phase at a given frequency point.

[0028] Optionally, step 5 includes:

[0029] The unit f within the digital channel (M,N) i The balancing data of the subarray units at each frequency point is burned into the corresponding digital channel (M,N) beam control. The probe position and the attenuator B in the data acquisition link of the receiving probe are adjusted. Then, all units corresponding to each digital channel (M,N) are turned on individually in turn, and different frequency points f of each digital channel (M,N) are acquired. i The third digital signal (I MN Q MN f i and different frequency points f of the reference channel at the same time. i The fourth digital signal (I *MN Q * MN f i ).

[0030] Optionally, step 6 includes:

[0031] The third digital signal (I) of the acquired digital channel (M,N) will be used. MN Q MN f i ), by acquiring the fourth digital signal (I) of the reference channel at the same time. * MN Q * MN f i By comparison, the relative digital signal Δ(I) of each digital channel is obtained. MN Q MN f i The formula for the comparison and transformation relationship is:

[0032] Δ(I MN Q MN f i ) = (I MN Q MN f i )-(I * MN Q * MN f i );

[0033] f all digital channels (M,N) i The relative digital signal Δ(I) corresponding to the frequency point MN Q MN f i Perform normalized balancing to obtain the digital channels (M,N) at f i The corresponding balance data at the frequency point is denoted as the normalized digital signal Δ(I MN Q MN f i ) * ;in,

[0034] Δ(I MN Q MN f i ) * =Δ(I MN Q MN f i )-Δ(I 00 Q 00 f i ),

[0035] In the formula, Δ(I)00 Q 00 f i ) represents the digital channel (0,0)f i The relative digital signal at a frequency point.

[0036] Secondly, embodiments of this application provide a digital receiver trimming device based on a large-scale digital array antenna, comprising:

[0037] The receiver link construction module is used to build the unit-level digital receiver probe data acquisition link and the reference channel digital receiver data acquisition link, and to debug the gain or attenuation of the two links so that the two links are not saturated and maintain stable signal consistency.

[0038] The first signal acquisition module is used to sequentially and individually acquire the first digital signal at different frequency points of each antenna element and the second digital signal at different frequency points of the reference channel at the same time by means of probe movement and frequency hopping function of frequency synthesizer.

[0039] The amplitude and phase comparison module is used to convert the first digital signal and the second digital signal into corresponding amplitude and phase through a decomposition algorithm, and then obtain the relative amplitude and relative phase of each antenna element by comparison;

[0040] The first data balancing module is used to group the units corresponding to the same digital subarray, and then balance them according to the relative amplitude and relative phase of the units within the subarray to obtain the balancing data of the units within the subarray.

[0041] The second signal acquisition module is used to burn the balancing data of the unit in the subarray into the corresponding subarray beam control, adjust the probe position and the gain or attenuation of the link, turn on all the units corresponding to each digital channel in turn, and acquire the third digital signal at different frequency points of each digital channel, as well as the fourth digital signal at different frequency points of the reference channel at the same time.

[0042] The second data balancing module is used to compare the third digital signal and the fourth digital signal to obtain the relative digital signal of each digital channel, and then balance the relative digital signals of all digital channels to obtain the balancing data of the digital channels.

[0043] The verification module is used to burn the digital channel's trim data into the DBF (Digital Beam Forming), and then use near-field testing methods and data processing algorithms to obtain the digital receiving pattern in order to determine the correctness of the trim data.

[0044] Thirdly, embodiments of this application provide a digital receiving trimming device based on a large-scale digital array antenna, comprising: a processor and a memory, wherein the memory stores executable program instructions, and when the processor calls the program instructions in the memory, the processor is used to:

[0045] Perform the steps of the digital receiver trimming method based on a large-scale digital array antenna as described in any one of the first aspects.

[0046] Fourthly, embodiments of this application provide a computer-readable storage medium for storing a program, which, when executed, implements the steps of the digital receiver trimming method based on a large-scale digital array antenna as described in any one of the first aspects.

[0047] Compared with the prior art, the present invention has the following beneficial effects:

[0048] This application modifies the traditional element-level trimming method for phased array antennas into two parts: element-level trimming and digital channel-level trimming. For element-level trimming, subarrays are grouped. Due to the smaller number of elements within a subarray and shorter acquisition time, the amplitude and phase errors of the subarray elements can be ignored. Simultaneously, for digital channel-level trimming, all corresponding elements within a digital channel are individually selected, effectively eliminating the amplitude and phase errors caused by the synthesis of radiation patterns from multiple antenna elements. In practical applications, this trimming method effectively divides large-scale antenna arrays into subarrays, fundamentally improving the accuracy of antenna trimming and significantly shortening the development cycle of large-scale digital array antennas. Attached Figure Description

[0049] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are merely embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on the provided drawings without creative effort. Other features, objects, and advantages of the present invention will become more apparent by reading the following detailed description of non-limiting embodiments with reference to the accompanying drawings:

[0050] Figure 1 A flowchart illustrating a digital receiver trimming method based on a large-scale digital array antenna, provided for an embodiment of this application;

[0051] Figure 2 A schematic diagram of the digital array antenna digital receiving and data acquisition link connection provided in this application embodiment;

[0052] Figure 3 This is a schematic diagram of the location of digital array antenna elements provided in an embodiment of this application;

[0053] Figure 4 This is a schematic diagram of the 0° non-scanning digital sum and difference beam in an embodiment of this application;

[0054] Figure 5 This is a schematic diagram of a 30° scanning digital sum and difference beam in an embodiment of this application. Detailed Implementation

[0055] To make the objectives, technical solutions, and advantages of the embodiments of this application clearer, the technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, not all embodiments. Based on the embodiments of this application, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this application.

[0056] It should be noted that when a component is said to be "fixed" to another component, it can be directly on the other component or it can be in a middle component. When a component is said to be "connected" to another component, it can be directly connected to the other component or it may be in a middle component.

[0057] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs. The terminology used herein in the specification of this application is for the purpose of describing particular embodiments only and is not intended to be limiting of the application. The term "and / or" as used herein includes any and all combinations of one or more of the associated listed items.

[0058] The terms “first,” “second,” “third,” “fourth,” etc. (if present) in the specification, claims, and accompanying drawings of this invention are used to distinguish similar objects and are not necessarily used to describe a particular order or sequence. It should be understood that such data can be interchanged where appropriate so that embodiments of the invention described herein can be implemented, for example, in orders other than those illustrated or described herein. Furthermore, the terms “comprising” and “having,” and any variations thereof, are intended to cover a non-exclusive inclusion; for example, a process, method, system, product, or apparatus that comprises a series of steps or units is not necessarily limited to those steps or units explicitly listed, but may include other steps or units not explicitly listed or inherent to such processes, methods, products, or apparatus.

[0059] The technical solutions of the present invention and how they solve the above-mentioned technical problems are described in detail below with specific embodiments. These specific embodiments can be combined with each other, and the same or similar concepts or processes may not be described again in some embodiments.

[0060] The following detailed description of some embodiments of this application is provided in conjunction with the accompanying drawings. Unless otherwise specified, the following embodiments and features can be combined with each other.

[0061] Figure 1 A flowchart illustrating a digital receiver trimming method based on a large-scale digital array antenna, provided for embodiments of this application, is shown below. Figure 1 As shown, the method in this embodiment may include the following steps:

[0062] Step S1: Set up a digital receiving and acquisition link, and debug the link attenuation to ensure the stability and consistency of the acquired signal.

[0063] In this embodiment, based on the near-field data acquisition principle of the antenna, a unit-level digital receiving probe data acquisition link and a reference channel digital receiving data acquisition link are built. The gain or attenuation of the two links is adjusted to ensure that the links are not saturated and maintain stable signal consistency.

[0064] In this embodiment, the schematic diagram of the digital array antenna digital receiver data acquisition link connection relationship is as follows: Figure 2 As shown, when the signals of the two links are measured to be saturated, attenuator A in the digital receiver acquisition link of the reference channel and attenuator B in the digital receiver acquisition link of the unit-level digital receiver probe are adjusted respectively to keep them at 1 / 4 to 1 / 2 of the digital acquisition saturation value, and the relative value of the measured signal relative to the reference signal is stable.

[0065] For example, the schematic diagram of the digital array antenna array element arrangement is as follows: Figure 3 As shown, the position information of the antenna element (m,n) in the m-th row and n-th column is denoted as (X). m Y n ,0).

[0066] Step S2: Sequentially and individually acquire digital signals at different frequencies of each antenna element and digital signals at different frequencies of the reference channel at the same time by using probe movement and frequency hopping function of frequency synthesizer (i.e., acquire unit-level digital received data).

[0067] In this embodiment, during probe acquisition, it is essential to ensure that the relative position of the probe and each antenna element remains consistent. The digital signals (I0) at different frequency points of each antenna element (m,n) are sequentially and individually acquired through probe movement and frequency hopping functionality of the frequency synthesizer. mn Q mn f i ) and digital signals (I) at different frequencies of the reference channel at the same time. * mn Q * mn f i (i.e., data received at the acquisition unit level).

[0068] Step S3: Convert the digital signal into corresponding amplitude and phase using a solution algorithm, and obtain the relative amplitude and relative phase of each unit by comparing it with the reference channel.

[0069] In this embodiment, a digital signal is converted into corresponding amplitude and phase (i.e., digital signal (I)) using a digital decomposition algorithm. mn Q mn f i ) is converted into antenna element f i The amplitude corresponding to the frequency point (A) mn f i ) and phase (Ψ) mn f i Digital signals (I) * mn ,

[0070] Q * mn f i ) is converted into antenna element f i The amplitude corresponding to the frequency point (A) * mn f i ) and phase (Ψ) * mn f i Each unit f is obtained by comparing it with the reference channel. i The relative amplitude of the frequency point (ΔA) mn f i ) and relative phase (ΔΨ) mn f i ), its comparison and transformation relationship

[0071] The formula is:

[0072] (ΔA mn f i )=(A mn f i )-(A * mn f i ), (ΔΨ mn f i )=(Ψ mn f i )-(Ψ * mn f i ).

[0073] Step S4: Group the units corresponding to the same digital subarray, and then balance them according to the relative amplitude and relative phase of the units within the subarray to obtain the balance data ① of the units within the subarray.

[0074] In this embodiment, each unit in the array i The relative amplitude of the frequency point (ΔA) mn f i ) and relative phase (ΔΨ) mn f i Divide the cells into M*N groups according to the cell arrangement a*b corresponding to the same digital channel (i.e., m = a*M, n = b*N), and then divide the cells into M*N groups according to the cell arrangement f within the digital channel (M,N). i The relative amplitude of the frequency point (ΔA) M_a,N_b f i ) and relative phase (ΔΨ) M_a,N_b f i Perform normalized balancing to obtain the unit f within the digital channel (M,N). i Frequency balance data (①) MN f i ), that is, the normalized magnitude (ΔA) M_a,N_b f i ) * and normalized phase (ΔΨ) M_a,N_b f i ) * The normalized balancing formula is as follows:

[0075] (ΔA M_a,N_b f i ) * =(ΔA) M_a,N_b f i )-(ΔA M_a,N_b f i ) 最小值 ,

[0076] (ΔΨ M_a,N_b f i ) * =(ΔΨ) M_a,N_b f i )-(ΔΨ M_a,N_b f i ) 最小值 ,

[0077] (ΔA M_a,N_b f i ) 最小值 Represents the cell f within the digital channel (M,N) i The minimum relative amplitude at the frequency point, (ΔΨ) M_a,N_b f i ) 最小值 Represents the cell f within the digital channel (M,N) i The minimum relative phase at a given frequency point.

[0078] Step S5: Burn the unit balancing data in the subarray into the corresponding subarray beam control, adjust the probe position and the gain or attenuation of the link, turn on all the units corresponding to each digital channel in turn, and collect the digital signals of different frequencies of each digital channel and the digital signals of different frequencies of the reference channel at the same time (i.e., collect digital channel-level digital received data).

[0079] In this embodiment, the unit f within the digital channel (M,N) i Frequency balance data (①) MN f i Burn the signal into the corresponding digital channel (M,N) beam control, adjust the probe position and the attenuator B in the receiving probe's data acquisition link, and sequentially turn on all units corresponding to each digital channel (M,N) individually to acquire different frequency points f of each digital channel (M,N). i Digital signals (I MN Q MN f i and different frequency points f of the reference channel at the same time. i Digital signals (I * MN Q * MN f i This refers to the acquisition of digital channel-level digital received data.

[0080] Step S6: Obtain the relative digital signal of each digital channel by comparing it with the reference channel, and then balance the relative digital signals of all digital channels to obtain the balance data of the digital channels ②.

[0081] In this embodiment, the digital signals (I) of the acquired digital channels (M, N) will be used. MN Q MN f i ), by acquiring the digital signal (I) of the reference channel at the same time. * MN Q * MN f i By comparison, the relative digital signal Δ(I) of each digital channel is obtained. MN Q MN f i The formula for the comparison and transformation relationship is:

[0082] Δ(I MN Q MN f i ) = (I MN Q MN f i )-(I * MN Q *MN f i );

[0083] Then add all digital channels (M,N)f i The relative digital signal Δ(I) corresponding to the frequency point MN Q MN f i Perform normalization balancing to obtain the digital channels (M,N)f i Frequency point corresponding balance data (②) MN f i ), that is, the normalized digital signal Δ(I MN Q MN f i ) * ;in,

[0084] Δ(I MN Q MN f i ) * =Δ(I MN Q MN f i )-Δ(I 00 Q 00 f i ),

[0085] Δ(I 00 Q 00 f i ) represents the digital channel (0,0)f i The relative digital signal at a frequency point.

[0086] Step S7: Burn the balancing data ② into the DBF, and then use the near-field test method and data processing algorithm to obtain the digital receiving pattern to determine the correctness of the balancing data.

[0087] In this embodiment, all digital channel (M,N) frequency points f i Balance data (②) MN f i The data is burned into the DBF and then a near-field test method and data processing algorithm are used to obtain the digital receiving pattern, which is used to determine the correctness of the trim data.

[0088] This embodiment effectively solves the problem of excessive amplitude and phase errors caused by long single-channel data acquisition time in large-scale digital array antennas through two-stage trimming at the unit level and the overall array digital channel level. It also eliminates the amplitude and phase errors caused by the synthesis of multiple unit patterns within the digital channel, thereby reducing the loss from overall array pattern synthesis and significantly improving parameters such as antenna beam pointing and sidelobe level. This solves the problem of excessive signal errors caused by long data acquisition time in the receiver trimming of large-scale digital array antennas, ensuring the accuracy of digital array antenna receiver trimming, saving significant testing time caused by multiple data acquisitions, and providing a feasible method for digital receiver trimming testing of subsequent large-scale digital array antenna products.

[0089] It should be noted that those skilled in the art will understand that various aspects of the present invention can be implemented as systems, methods, or program products. Therefore, various aspects of the present invention can be specifically implemented in the following forms: a completely hardware implementation, a completely software implementation (including firmware, microcode, etc.), or a combination of hardware and software implementations, collectively referred to herein as a "circuit," "module," or "platform."

[0090] Furthermore, embodiments of this application also provide a computer-readable storage medium storing computer-executable instructions. When at least one processor of a user device executes these computer-executable instructions, the user device performs the various possible methods described above. The computer-readable medium includes a computer storage medium and a communication medium, wherein the communication medium includes any medium that facilitates the transfer of a computer program from one location to another. The storage medium can be any available medium accessible to a general-purpose or special-purpose computer. An exemplary storage medium is coupled to a processor, enabling the processor to read information from and write information to the storage medium. Of course, the storage medium can also be a component of the processor. The processor and storage medium can reside in an ASIC. Additionally, the ASIC can reside in the user device. Alternatively, the processor and storage medium can exist as discrete components in a communication device.

[0091] This application also provides a program product including a computer program stored in a readable storage medium. At least one processor of the server can read the computer program from the readable storage medium, and the at least one processor executes the computer program to cause the server to implement any of the methods described in the embodiments of the present invention.

[0092] The program product may employ any combination of one or more readable media. A readable medium may be a readable signal medium or a readable storage medium. A readable storage medium may be, for example, but not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination thereof. More specific examples (a non-exhaustive list) of readable storage media include: electrical connections having one or more wires, portable disks, hard disks, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), optical fiber, portable compact disk read-only memory (CD-ROM), optical storage devices, magnetic storage devices, or any suitable combination thereof.

[0093] The specific embodiments of the present invention have been described above. It should be understood that the present invention is not limited to the specific embodiments described above, and those skilled in the art can make various modifications or variations within the scope of the claims, which do not affect the essence of the present invention.

Claims

1. A digital receiver trimming method based on a large-scale digital array antenna, characterized in that, include: Step 1: Build the unit-level digital receiver probe data acquisition link and the reference channel digital receiver data acquisition link, and adjust the gain or attenuation of the two links to ensure that the two links are not saturated and maintain stable signal consistency. Step 2: By using the probe movement and frequency hopping function of the frequency synthesizer, the first digital signal of each antenna element at different frequency points and the second digital signal of the reference channel at different frequency points at the same time are collected sequentially and individually. Step 3: Convert the first digital signal and the second digital signal into corresponding amplitude and phase using a numerical solution algorithm, and then obtain the relative amplitude and relative phase of each antenna element by comparison; Step 4: Group the cells according to the same digital subarray, and then balance them according to the relative amplitude and relative phase of the cells within the subarray to obtain the balance data of the cells within the subarray. Step 5: Burn the balancing data of the units in the subarray into the corresponding subarray beam control, adjust the probe position and the gain or attenuation of the link, turn on all the units corresponding to each digital channel in turn, and collect the third digital signal at different frequency points of each digital channel, as well as the fourth digital signal at different frequency points of the reference channel at the same time; wherein, each digital channel corresponds one-to-one with the digital subarray, and the signal of a digital subarray is received and processed through a unique digital channel; Step 6: Compare the third digital signal and the fourth digital signal to obtain the relative digital signal of each digital channel, and then balance the relative digital signals of all digital channels to obtain the balance data of the digital channels. Step 7: Burn the trim data of the digital channel into the digital beam combiner (DBF), and then use near-field testing methods and data processing algorithms to obtain the digital receiving pattern to determine the correctness of the trim data.

2. The digital receiver trimming method based on a large-scale digital array antenna according to claim 1, characterized in that, Step 1 includes: Step 1.1: Based on the near-field data acquisition principle of the antenna, construct the unit-level digital receiving probe data acquisition link and the reference channel digital receiving data acquisition link; Step 1.2: When the signal saturation of the two links is measured, adjust the attenuator A in the digital receiver acquisition link of the reference channel and the attenuator B in the digital receiver acquisition link of the unit-level digital receiver probe respectively, so as to maintain the digital acquisition saturation value at 1 / 4 to 1 / 2 position and the relative value of the measured signal with respect to the reference signal is stable.

3. The digital receiver trimming method based on a large-scale digital array antenna according to claim 1, characterized in that, In step 2, the first digital signal of the antenna element in row m and column n at different frequency points is denoted as: (I mn Q mn f i ), f i Let m represent the i-th frequency point, where i is a natural number greater than 0; where m = 1, 2, 3….U, n = 1, 2, 3….V, U represents the total number of rows of antenna elements, and V represents the total number of columns of antenna elements; Let the second digital signal of the antenna element in row m and column n at different frequency points of the reference channel at the same time be denoted as: (I * mn Q * mn f i ).

4. The digital receiver trimming method based on a large-scale digital array antenna according to claim 3, characterized in that, In step 3, the following conversion formula is satisfied: (ΔA mn ,favorite i )= (A mn ,favorite i )-(A * mn ,favorite i ); (DW) mn ,f i )= (Ψ mn ,f i )- (Ψ * mn ,f i ); Among them, (ΔA) mn f i ) indicates at frequency point f i The relative amplitude of the antenna element in the m-th row and n-th column, (A mn f i ) indicates at frequency point f i The amplitude of the first digital signal of the antenna element in the m-th row and n-th column, (A * mn f i ) indicates at frequency point f i The amplitude of the second digital signal of the antenna element in the m-th row and n-th column; (ΔΨ) mn f i ) indicates at frequency point f i The relative phase of the antenna elements in the m-th row and n-th column, (Ψ mn f i ) indicates at frequency point f i The phase of the first digital signal of the antenna element in the m-th row and n-th column, (Ψ * mn f i ) indicates at frequency point f i The phase of the second digital signal of the antenna element in the m-th row and n-th column.

5. The digital receiver trimming method based on a large-scale digital array antenna according to claim 4, characterized in that, Step 4 includes: Each unit f in the entire array i The relative amplitude of the frequency point (ΔA) mn f i ) and relative phase (ΔΨ) mn f i The cells corresponding to the same digital channel are arranged in a*b groups, which are divided into M*N groups, where m=a*M and n=b*N; M and N are natural numbers greater than 1. According to the number channel (M,N) in row M and column N, the cell f i The relative amplitude of the frequency point (ΔA) M_a,N_b f i ) and relative phase (ΔΨ) M_a,N_b f i Perform normalized balancing to obtain the unit f within the digital channel (M,N). i The frequency balance data is denoted as the normalized amplitude (ΔA). M_a,N_b f i ) * and normalized phase (ΔΨ) M_a,N_b f i ) * The normalized balancing formula is as follows: (ΔA M_a,N_b ,f i ) * =(ΔA M_a,N_b ,f i )- (ΔA M_a,N_b ,f i ) 最小值 , (DW) M_a,N_b ,f i ) * =(ΔΨ M_a,N_b ,f i )- (DΨ M_a,N_b ,f i ) 最小值 , In the formula, (ΔA) M_a,N_b f i ) 最小值 Represents the cell f within the digital channel (M,N) i The minimum relative amplitude at the frequency point, (ΔΨ) M_a,N_b f i ) 最小值 Represents the cell f within the digital channel (M,N) i The minimum relative phase at the frequency point.

6. The digital receiver trimming method based on a large-scale digital array antenna according to claim 5, characterized in that, Step 5 includes: The unit f within the digital channel (M,N) i The balancing data of the subarray units at each frequency point is burned into the corresponding digital channel (M,N) beam control. The probe position and the attenuator B in the data acquisition link of the receiving probe are adjusted. Then, all units corresponding to each digital channel (M,N) are turned on individually in turn, and different frequency points f of each digital channel (M,N) are acquired. i The third digital signal (I MN Q MN f i and different frequency points f of the reference channel at the same time. i The fourth digital signal (I * MN Q * MN f i ).

7. The digital receiver trimming method based on a large-scale digital array antenna according to claim 6, characterized in that, Step 6 includes: The third digital signal (I) of the acquired digital channels (M,N) will be used. MN Q MN f i ), by acquiring the fourth digital signal (I) of the reference channel at the same time. * MN Q * MN f i By comparison, the relative digital signal Δ(I) of each digital channel is obtained. MN Q MN f i The formula for the comparison and transformation relationship is: Δ(I MN ,Q MN ,f i )= (I MN ,Q MN ,f i )- (I * MN ,Q * MN ,f i ); f of all digital channels (M,N) i The relative digital signal Δ(I) corresponding to the frequency point MN Q MN f i Perform normalized balancing to obtain the digital channels (M,N) at f i The corresponding balance data at the frequency point is denoted as the normalized digital signal Δ(I MN Q MN f i ) * ;in, Δ(I MN ,Q MN ,f i ) * =Δ(I MN ,Q MN ,f i )- Δ(I 00 ,Q 00 ,f i ), In the formula, Δ(I) 00 Q 00 f i ) represents the digital channel (0,0) f i The relative digital signal at a frequency point.

8. A digital receiving trimming device based on a large-scale digital array antenna, characterized in that, include: The receiver link construction module is used to build the unit-level digital receiver probe data acquisition link and the reference channel digital receiver data acquisition link, and to debug the gain or attenuation of the two links so that the two links are not saturated and maintain stable signal consistency. The first signal acquisition module is used to sequentially and individually acquire the first digital signal at different frequency points of each antenna element and the second digital signal at different frequency points of the reference channel at the same time by means of probe movement and frequency hopping function of frequency synthesizer. The amplitude and phase comparison module is used to convert the first digital signal and the second digital signal into corresponding amplitude and phase through a decomposition algorithm, and then obtain the relative amplitude and relative phase of each antenna element by comparison; The first data balancing module is used to group the units corresponding to the same digital subarray, and then balance them according to the relative amplitude and relative phase of the units within the subarray to obtain the balancing data of the units within the subarray. The second signal acquisition module is used to burn the balancing data of the units in the subarray into the corresponding subarray beam control, adjust the probe position and the gain or attenuation of the link, and sequentially open all the units corresponding to each digital channel individually to acquire the third digital signal at different frequency points of each digital channel, as well as the fourth digital signal at different frequency points of the reference channel at the same time; wherein, each digital channel corresponds one-to-one with the digital subarray, and the signal of a digital subarray is received and processed through a unique digital channel; The second data balancing module is used to compare the third digital signal and the fourth digital signal to obtain the relative digital signal of each digital channel, and then balance the relative digital signals of all digital channels to obtain the balancing data of the digital channels. The verification module is used to burn the trim data of the digital channel into the digital beam combiner (DBF), and then use near-field testing methods and data processing algorithms to obtain the digital receiving pattern in order to determine the correctness of the trim data.

9. A digital receiving trimming device based on a large-scale digital array antenna, characterized in that, include: A processor and a memory, wherein the memory stores executable program instructions, and when the processor invokes the program instructions in the memory, the processor is used to: The steps of performing the digital receiver trimming method based on a large-scale digital array antenna as described in any one of claims 1 to 7.

10. A computer-readable storage medium for storing a program, characterized in that, When the program is executed, it implements the steps of the digital receiver trimming method based on a large-scale digital array antenna as described in any one of claims 1 to 7.

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