A broadband phased array radar intermediate frequency clutter and interference simulation method

Abstract

The present application belongs to the field of wideband phased array radar signal processing and testing technology, and discloses a kind of wideband phased array radar intermediate frequency clutter and interference simulation method, comprising: collecting radar full original physical data, solidification generates static off-line parameter table set;Static routing vector is configured, the intercoupling diffusion rule of establishing damage channel to adjacent element routing is established, while constructing path gating rule and nonlinear trigger rule, form three-domain rule configuration system;Perform geometric path matching processing and channel data stream addressing processing, through sampling point vector coherence superposition and instantaneous power threshold nonlinear distortion injection, generate multi-channel intermediate frequency clutter and interference simulation signal;According to the preset fixed step length adjustment three-domain rule configuration parameter, generate optimization configuration parameter;Intermediate frequency clutter and interference simulation signal is sent to radar receiver through digital-analog conversion, and through effectiveness verification, archive configuration parameter and verification data form reusable data set.

Description

Technical Field

[0001] This invention relates to the field of broadband phased array radar signal processing and testing technology, and more specifically, to a method for simulating intermediate frequency clutter and interference in broadband phased array radar. Background Technology

[0002] Wideband phased array radars are widely used in air defense early warning, reconnaissance and other fields. They require realistic simulation of complex terrain clutter, various types of interference, and non-ideal characteristics of array channels in the mid-frequency band to provide reliable support for radar receiver testing and performance verification. Current radar testing demands increasingly higher fidelity and scenario adaptability in clutter interference simulation, and traditional simulation methods are no longer sufficient to meet the testing requirements of wideband and arrayed radars.

[0003] Most existing mid-frequency clutter and interference simulation technologies fail to reproduce non-ideal characteristics such as array element mutual coupling and channel damage, and lack scenario-based dynamic rules, resulting in poor realism in clutter interference simulation. At the same time, nonlinear distortion injection relies on real-time online calculations and lacks static quantization parameters, leading to poor distortion simulation accuracy and low operating efficiency. Summary of the Invention

[0004] To overcome the aforementioned deficiencies of the prior art and to achieve the above objectives, the present invention provides the following technical solution: a method for simulating intermediate frequency clutter and interference in a broadband phased array radar, comprising:

[0005] S1: Collect all raw physical data from the radar, and generate a static offline parameter table set by discrete interval quantization and key-value formatting.

[0006] S2: Based on the static offline parameter table set, configure static routing vectors for the intermediate frequency channels of each array element, establish mutual coupling diffusion rules for the transmission of signals from damaged channels to neighboring elements, and at the same time construct scenario-driven path selection rules and power frequency difference-driven nonlinear triggering rules to form a unified three-domain rule configuration system of channel domain, path domain and event domain.

[0007] S3: Based on the three-domain rule configuration system and the real-time acquired radar status data, perform geometric path matching processing and channel data stream addressing processing, and then generate multi-channel intermediate frequency clutter and interference simulation signals through sampling point vector coherent superposition and instantaneous power threshold nonlinear distortion injection.

[0008] S4: Based on the intermediate frequency clutter and interference simulation signal, update the operating condition parameter interval code according to the real-time feedback data of the receiver, adjust the three-domain rule configuration parameters according to the preset fixed step size, and generate optimized configuration parameters adapted to the current radar operating condition.

[0009] S5: Based on optimized configuration parameters and static offline parameter tables, the intermediate frequency clutter and interference simulation signals are sent to the radar receiver through digital-to-analog conversion. The configuration parameters and verification data are archived through validity verification to form a reusable dataset, forming a complete closed-loop intermediate frequency clutter and interference simulation link.

[0010] Furthermore, the method for generating the static offline parameter table set includes:

[0011] Four types of data are collected: radar array channels, clutter interference propagation, receiver nonlinearity, and transmitted waveform, which serve as the raw physical data of the radar.

[0012] For all raw physical data, discrete interval quantization is performed according to four dimensions: frequency, angle, power and distance. Index codes are generated for the quantized discrete data to form key-value pairs.

[0013] Based on the data type of the original physical data, the key-value pairs are organized into four types of standardized tables, which are then solidified into four types of parameter tables: array element mutual coupling, clutter-interference path, nonlinear distortion, and waveform. These are then integrated to generate a static offline parameter table set.

[0014] Furthermore, the method of configuring static routing vectors for the intermediate frequency channels of each array element includes:

[0015] Based on the static offline parameter table set, a unique identifier is assigned to each array element intermediate frequency channel and the channel working status and characteristic parameters are configured in sequence. All configurations are integrated to form a static routing vector for a single channel.

[0016] Then, the static routing vectors of all array element intermediate frequency channels are batch collected and integrated into a channel static routing vector set.

[0017] Furthermore, the method for establishing the mutual coupling diffusion rule for signals transmitted from the damaged channel to the neighboring cell route includes:

[0018] Based on the static routing vector set of the channel, channels with a health status of completely destroyed are filtered and extracted to form a list of destroyed channels;

[0019] Based on the mutual coupling radius of the damaged channel, the neighboring channel affected by the coupling is locked, and the corresponding mutual coupling coefficient is retrieved from the static offline parameter table for each frequency interval.

[0020] For each damaged channel and its corresponding neighboring channel, a mutual coupling diffusion mapping relationship is constructed between the damaged channel, the neighboring channel, and the mutual coupling coefficient, forming a mutual coupling diffusion rule.

[0021] Furthermore, the formation method of the three-domain rule configuration system includes:

[0022] Based on the static offline parameter table set, the typical working scenarios of the radar are preset. Combined with the terrain type and radar working conditions, the trigger conditions of each path selection rule are constructed by combining multiple intervals. The corresponding path selection rules are matched for various scenarios and integrated to form a scenario-driven path selection rule set.

[0023] Meanwhile, for the two types of nonlinear effect events caused by receiver front-end power and frequency difference, trigger conditions are set according to the quantization interval, corresponding nonlinear correction actions are defined and associated with static offline parameters, and a set of nonlinear triggering rules driven by power frequency difference is constructed.

[0024] The system integrates the mutual coupling diffusion rule as the channel domain rule, the path selection rule as the path domain rule, and the nonlinear triggering rule as the event domain rule into a three-domain rule configuration system.

[0025] Furthermore, the methods for performing geometric path matching processing and channel data stream addressing processing include:

[0026] Based on the three-domain rule configuration system and static offline parameter table set, capture and parse the real-time radar status data to generate a real-time radar status data table.

[0027] Based on the path selection rule set, the real-time radar status and rule conditions after parsing are matched, the corresponding scene rules are filtered and the static parameters of the corresponding activation path are retrieved, and the activation path list is generated.

[0028] Based on the channel health status in the list of active paths and the channel static route vector set, combined with the mutual coupling diffusion table, a corresponding array element intermediate frequency channel is assigned to each active path, channel routing addressing is performed by category, and a channel routing configuration table is generated.

[0029] Furthermore, the method for generating multi-channel intermediate frequency clutter and interference analog signals includes:

[0030] Based on the list of active paths and the channel routing configuration table, combined with the static offline parameter table set, the radar transmit waveform baseband sampling point sequence is retrieved according to the path type. The sampling points of each active path are statically corrected, and the inherent deviation of each channel sampling point is compensated to generate a single path sampling point set.

[0031] Based on the single-path sampling point set, perform multi-path sampling point vector coherent superposition according to the channel health status to generate a channel superimposed sampling point set;

[0032] Based on the nonlinear triggering rule set, the instantaneous power and frequency difference matching of the channel superimposed sampling point set are used to determine the nonlinear distortion trigger, mark the corresponding sampling point or pulse, and generate a nonlinear triggering instruction set;

[0033] Based on the nonlinear trigger instruction set, the nonlinear distortion parameters are retrieved through the nonlinear distortion parameter set, gain compression is performed on the marked sampling points, intermodulation products are injected into the marked pulses, and then the final sampling point sequences of all channels are integrated to generate multi-channel intermediate frequency clutter and interference analog signals.

[0034] Furthermore, the method for generating the optimized configuration parameters includes:

[0035] Based on the simulated signals of intermediate frequency clutter and interference, clutter feedback data, interference feedback data and channel adaptability feedback data of radar receivers are collected and standardized for analysis. These are used as three types of indicators for deviation evaluation. Based on the identified deviation results, the corresponding rule domain of the positioning deviation is located by the three-domain rule configuration system, and a radar feedback data analysis report is generated.

[0036] By combining radar feedback data reports and real-time radar status data, the correlation between deviation and operating conditions is analyzed, and the corresponding radar operating condition parameter range codes are updated.

[0037] Then, guided by the deviation, the parameters are configured according to the preset fixed step size domain iterative rules of the channel domain, path domain and event domain to generate optimized configuration parameters that are suitable for the current radar operating conditions.

[0038] Furthermore, the method of transmitting the intermediate frequency clutter and interference analog signals to the radar receiver via digital-to-analog conversion includes:

[0039] Using the leading edge of the radar transmitted pulse as the global time reference, the intermediate frequency clutter and interference analog signals of each channel are time-aligned and amplitude-calibrated. Then, the multi-channel DAC is driven by the same source clock to perform parallel digital-to-analog conversion, and the signals are synchronously sent to the radar receiver according to the correspondence of the array element channels.

[0040] Furthermore, the methods for forming the reusable dataset include:

[0041] Based on the intermediate frequency clutter and interference simulation signals sent to the radar receiver and the actual receiver response data, the optimized configuration parameters are validated in multiple dimensions. The validated configuration parameters and validation data are archived and packaged according to the operating conditions to form a reusable dataset.

[0042] The technical effects and advantages of the present invention regarding the intermediate frequency clutter and interference simulation method for broadband phased array radar are as follows:

[0043] This invention addresses the core deficiencies in intermediate frequency testing of broadband phased array radar by constructing a full-link simulation system encompassing parameter modeling, rule configuration, signal generation, iterative optimization, and output verification, thereby significantly improving the realism and adaptability of clutter interference simulation.

[0044] First, by performing multi-dimensional discrete quantization and formatting processing on the original radar data, a static offline parameter table set is generated, achieving parameter standardization and reusability, thus solving the problem of the chaotic nature of traditional simulation data. Second, a three-domain rule system is constructed, including channel mutual coupling diffusion, scene path selection, and nonlinear triggering, to accurately restore the non-ideal characteristics of the channels and the real working mechanism of the radar, thereby improving the realism of clutter interference simulation from the root.

[0045] Then, based on the three-domain rules, path matching and channel routing are completed. Multi-channel signals are generated by the vector coherent superposition of sampling points to ensure array coherence and simulation accuracy. Next, based on real-time feedback from the radar receiver, the rule parameters are iteratively optimized by domain at fixed step size to realize dynamic adaptive adjustment of simulation parameters according to the working conditions, breaking the limitations of traditional static simulation.

[0046] Finally, the parameter data is archived after the multi-channel synchronous digital-to-analog conversion output signal is verified for effectiveness, forming a reusable dataset and a complete closed-loop simulation link, which improves test reproducibility and scenario adaptation efficiency.

[0047] This invention achieves high-precision, scenario-based simulation of intermediate frequency clutter and interference in broadband phased array radar, applicable to the testing and performance verification of various broadband phased array radar receivers, significantly improving simulation fidelity, system adaptability, and testing efficiency. Attached Figure Description

[0048] Figure 1 This is a schematic flowchart of a broadband phased array radar intermediate frequency clutter and interference simulation method according to the present invention;

[0049] Figure 2 This is a schematic diagram of the channel routing addressing process in a broadband phased array radar intermediate frequency clutter and interference simulation method of the present invention;

[0050] Figure 3 This is a schematic diagram of the process of a broadband phased array radar intermediate frequency clutter and interference simulation system according to the present invention. Detailed Implementation

[0051] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention. Example 1

[0052] Please see Figure 1 and Figure 2 As shown in this embodiment, a method for simulating intermediate frequency clutter and interference in a broadband phased array radar includes:

[0053] S1: Collect all raw physical data from the radar, and generate a static offline parameter table set by discrete interval quantization and key-value formatting.

[0054] S2: Based on the static offline parameter table set, configure static routing vectors for the intermediate frequency channels of each array element, establish mutual coupling diffusion rules for the transmission of signals from damaged channels to neighboring elements, and at the same time construct scenario-driven path selection rules and power frequency difference-driven nonlinear triggering rules to form a unified three-domain rule configuration system of channel domain, path domain and event domain.

[0055] S3: Based on the three-domain rule configuration system and the real-time acquired radar status data, perform geometric path matching processing and channel data stream addressing processing, and then generate multi-channel intermediate frequency clutter and interference simulation signals through sampling point vector coherent superposition and instantaneous power threshold nonlinear distortion injection.

[0056] S4: Based on the intermediate frequency clutter and interference simulation signal, update the operating condition parameter interval code according to the real-time feedback data of the receiver, adjust the three-domain rule configuration parameters according to the preset fixed step size, and generate optimized configuration parameters adapted to the current radar operating condition.

[0057] S5: Based on optimized configuration parameters and static offline parameter tables, the intermediate frequency clutter and interference simulation signals are sent to the radar receiver through digital-to-analog conversion. The configuration parameters and verification data are archived through validity verification to form a reusable dataset, forming a complete closed-loop intermediate frequency clutter and interference simulation link.

[0058] Methods for generating static offline parameter sets include:

[0059] Four types of data are collected from the wideband phased array radar: radar array channels, clutter interference propagation, receiver nonlinearity, and transmitted waveform, which serve as the raw physical data of the entire radar.

[0060] The radar array channel data includes: amplitude-frequency response curves (collecting amplitude response data of each array element channel in the radar operating frequency band, recording the amplitude value corresponding to each frequency point, and forming a complete amplitude-frequency response curve), phase-frequency response curves (collecting phase response data of each array element channel in the same frequency band, recording the phase value corresponding to each frequency point, and corresponding one-to-one with the amplitude-frequency response curve), and neighboring array element mutual coupling coefficients (i.e., scattering parameters (S-parameters), collecting S21 parameters (transmission coefficient (insertion loss) from port 1 to port 2) and S12 parameters (reverse transmission from port 2 to port 1) between each array element and its neighboring array elements (nearest neighbor, second nearest neighbor), covering the entire operating frequency band, and simultaneously recording the array element spacing and relative position coordinates for subsequent mutual coupling rule configuration);

[0061] The clutter propagation data includes: terrain clutter parameters (covering four typical terrain types (ocean, city, forest, desert), with each terrain type divided into operating conditions according to incident angle and scattering angle, collecting path loss, reference delay, delay spread, Doppler spectrum broadening factor, and polarization scattering matrix), and interference parameters (covering two interference styles: direct interference and interference ejection (interference-terrain-radar), collecting reference delay, amplitude loss, and polarization characteristics (horizontal polarization, vertical polarization) according to frequency range (1GHz-18GHz, every 100MHz interval), and clarifying the triggering scenario for each interference style).

[0062] Receiver nonlinear data includes: core component parameters (for key receiver front-end components (LNA low-noise amplifier, mixer), AM-AM compression coefficient and AM-PM distortion value are collected according to the input power range, and the changes in nonlinear characteristics under different power are recorded), and intermodulation product parameters (according to the interference frequency difference range, the amplitude and phase of second-order and third-order intermodulation products are collected, intermodulation product templates are generated, and the correspondence between frequency difference and intermodulation intensity is clarified).

[0063] Transmitted waveform data includes: baseband I / Q sample sequence (collecting baseband I / Q samples of typical radar transmitted waveforms (such as linear frequency modulated waves and pulse waves), with the sampling rate matching the radar's working sampling rate and the sample length not less than 1024 points to ensure waveform integrity), and waveform parameters (synchronously recording core parameters such as waveform type, pulse width, bandwidth, and peak power to ensure one-to-one association with the baseband I / Q samples).

[0064] Data collection employs a combination of field measurements, simulations, and supplementary data from standard databases to ensure data authenticity and comprehensiveness.

[0065] Radar array channel data is obtained through actual measurement using a vector network analyzer or full-wave electromagnetic simulation (HFSS / CST); clutter interference propagation data is obtained through field measurement or offline electromagnetic calculation (ray tracing method); receiver nonlinear data is obtained through actual measurement using a nonlinear characteristic tester or extracted from device datasheets; transmitted waveform data is directly acquired from standard radar transmission parameters.

[0066] All the collected continuous raw physical data are quantized into discrete intervals according to four dimensions: frequency, angle, power and distance, to ensure that all data are discrete static values.

[0067] In terms of frequency dimension: the frequency band is divided into 1GHz-18GHz in 100MHz intervals, with a total of 170 intervals. The interval code is encoded as "F + three digits" (e.g., F001 corresponds to 1.0GHz-1.1GHz, F002 corresponds to 1.1GHz-1.2GHz).

[0068] Angular dimensions: Both the incident angle and the scattering angle are divided into 5° intervals. There are 18 intervals for the incident angle from 0° to 90° (codes A001-A018), and 36 intervals for the scattering angle from 0° to 180° (codes S001-S036).

[0069] Power dimension: Input power is divided into 5dB intervals, with a total of 12 intervals from -60dBm to 0dBm (coded P001-P012).

[0070] Distance dimension: For the propagation distance corresponding to the path delay, each interval is 1km, with 100 intervals from 0km to 100km (coded D001-D100).

[0071] For each type of raw continuous data, determine its quantization interval. For example, the amplitude-frequency response data of a certain array element at 1.05 GHz belongs to the frequency interval F001 (1.0 GHz-1.1 GHz). For continuous data within each interval, take the average of all measurements within the interval as the fixed quantization value for that interval to avoid data fluctuations and ensure that the quantized data is a static discrete value.

[0072] For the discrete data of quantized static discrete values, a unique index code is generated by combining dimension interval codes to cover all data scenarios;

[0073] For example: Array element mutual coupling coefficient index code: frequency range code + neighbor distance level code (nearest neighbor = 1, second nearest neighbor = 2), such as F001-1 corresponding to the mutual coupling coefficient of the nearest array element in the 1.0GHz-1.1GHz frequency band;

[0074] Each quantized value is paired with its corresponding index code to form a key-value pair (key = index code, value = fixed quantization value), for example: key = F001-1, value = (amplitude: -1.2dB, phase: 10.5°).

[0075] Based on the data type of the original physical data, the key-value pairs are organized into four types of standardized tables (table fields include: index code, fixed value, data source, quantization range and accuracy level), which are named and solidified as array element mutual coupling parameter table, clutter-interference path parameter table, nonlinear distortion parameter table and waveform parameter table, and finally integrated to generate a static offline parameter table set.

[0076] The methods for configuring static route vectors for the intermediate frequency channels of each array element include:

[0077] Based on the static offline parameter table set, each array element intermediate frequency channel is assigned a unique identifier by a combination of array element number and channel type. The identifier is 8 bits long, with the first 6 bits being the array element physical number (e.g., R01C01 corresponds to the array element in the first row and first column) and the last 2 bits being the channel type code (01 = receiving channel, 02 = transmitting channel; in this embodiment, the receiving channel is focused on and is uniformly 01).

[0078] Each array element's intermediate frequency channel is assigned a unique channel ID. For example, the receiving channel ID of the array element in the first row and first column is R01C0101, the one in the first row and second column is R01C0201, and so on.

[0079] Associate the channel ID with the array element number in the array element mutual coupling parameter table to establish a mapping relationship of "channel ID-array element number-parameter index", which facilitates the quick retrieval of the parameter data of the corresponding array element in the future.

[0080] Based on the channel ID, configure the channel operating status and characteristic parameters of each array element intermediate frequency channel in sequence, including channel health status parameters, amplitude and phase offset and frequency conversion constraint parameters, and mutual coupling influence radius parameters;

[0081] The configuration method for the channel health status parameter (used to define the non-ideal characteristics of the channel) is as follows:

[0082] The health status code is configured using a two-bit binary encoding method to clearly define the three states, which are directly associated with subsequent channel routing logic:

[0083] 00: Healthy (no channel abnormalities, normal signal reception and processing);

[0084] 01: Amplitude and phase anomaly (the channel has a fixed amplitude and phase deviation, which requires additional correction);

[0085] 10: Completely destroyed (channel cannot work, output is set to zero, triggering inter-coupled signal routing).

[0086] The configuration is based on the fault simulation scenarios or user testing requirements preset by experts. Health status codes are set for each channel one by one. For example, if the damage of the array element in the 2nd column of the 3rd row needs to be simulated, the health status code of its channel ID (R03C0201) is set to 10; if the amplitude and phase abnormality of the array element in the 5th column of the 2nd row needs to be simulated, the health status code is set to 01.

[0087] If the health status code is 01 (amplitude and phase abnormality), the array element mutual coupling parameter table is synchronously associated, and a subsequent correction interface is reserved; if it is 10 (completely damaged), it is marked as needing to trigger the mutual coupling diffusion rule, and the subsequent operation process is associated.

[0088] The configuration method for amplitude and phase offset and frequency-varying constraint parameters (used to correct inherent channel deviations) is as follows:

[0089] First, perform amplitude and phase offset configuration: retrieve the quantized values ​​of the amplitude and phase frequency responses of the corresponding array elements from the array element mutual coupling parameter table according to channel ID-frequency range, as the basic data for amplitude and phase offset;

[0090] Each channel is configured with corresponding amplitude and phase offsets according to the frequency range (consistent with the quantization range of the preceding stage). For example, the amplitude offset of channel R01C0101 in the frequency range F001 (1.0GHz-1.1GHz) is -1.2dB and the phase offset is 10.5°.

[0091] Next, frequency-varying response constraint configuration is performed: Based on the quantized data of amplitude-frequency response and phase-frequency response already collected in the array element mutual coupling parameter table, the frequency-varying response correction parameters for each frequency interval are calculated one by one. The calculation method is as follows: taking the quantized values ​​of amplitude-frequency and phase-frequency response of each frequency interval as a benchmark, the deviation value of that interval relative to the standard amplitude-phase response is calculated as the frequency-varying response correction parameter (for example: if the standard amplitude response is 0dB and the measured amplitude response of a certain interval is -1.2dB, the correction parameter is +1.2dB).

[0092] The calculated frequency response correction parameters are organized into a frequency amplitude and phase correction table according to frequency range; a frequency response constraint index is configured for each channel, which directly points to the corresponding interval correction parameter in the frequency amplitude and phase correction table. For example, the frequency response constraint index of channel R01C0101 is F001-F010, which corresponds to the frequency correction parameters in the 1.0GHz-2.0GHz frequency band.

[0093] This is used to ensure that the channel can call the corresponding amplitude and phase correction values ​​in different frequency ranges to compensate for the deviation caused by frequency changes;

[0094] The configuration method for the mutual coupling influence radius parameter (which defines the coupling range of the damaged channel) is as follows:

[0095] The mutual coupling influence radius is graded using a three-level coding system (0-2) to correspond to different coupling ranges, consistent with the neighbor distance level obtained from the mutual coupling coefficient acquisition.

[0096] 0: No impact (When the channel is damaged or abnormal, no coupling signal is transmitted to any neighboring cell);

[0097] 1: Neighbor effect (coupled signal is only transmitted to one adjacent element);

[0098] 2: Second nearest neighbor influence (transmitting coupling signals to the next nearest and next nearest array elements).

[0099] From the array element mutual coupling parameter table, determine the mutual coupling influence radius level of each channel according to the array element spacing and mutual coupling coefficient corresponding to the channel. For example, when the array element spacing is 0.5λ (λ is the radar operating wavelength), the mutual coupling influence radius is set to 1 (nearest neighbor); when the array element spacing is 0.3λ, it is set to 2 (second nearest neighbor).

[0100] The mutual coupling impact radius level is associated with the channel health status code. Only channels with a health status code of 10 (completely destroyed) have their mutual coupling impact radius parameter taking effect.

[0101] Each channel's configuration is integrated to form a single-channel static routing vector, which uniformly contains six fields: Channel ID (8-bit code, such as R01C0101), Health Status Code (2-bit binary, such as 00, 01, 10), Amplitude and Phase Offset Set (key-value pairs sorted by frequency interval code, such as F001: (-1.2dB, 10.5°)), Frequency Response Constraint Index (such as F001-F010), Mutual Coupling Influence Radius Level (0, 1, or 2), and Subarray ID (if there is a subarray division, fill in 00 if there is none).

[0102] The six fields of each channel are integrated into a static routing vector in XML format, and each vector is assigned a unique vector ID (consistent with the channel ID).

[0103] Then, the static routing vectors of all array element intermediate frequency channels are batch-collected and integrated into a channel static routing vector set.

[0104] The methods for establishing mutual coupling diffusion rules for signals transmitted from damaged channels to neighboring routing cells include:

[0105] Based on the channel static routing vector set, channels with a health status code of 10 (completely damaged) are filtered and extracted in batches to form a list of damaged channels. Channels with health (00) and amplitude and phase abnormalities (01) are excluded, and mutual coupling diffusion rules are constructed only for damaged channels.

[0106] Based on the mutual coupling influence radius level (0, 1, 2) of the damaged channel, and combined with the physical layout of the array elements, the neighboring channels affected by its coupling signal are locked. This must completely correspond to the previous mutual coupling influence radius level. Specifically, using the physical coordinates of the array element to which the damaged channel belongs as a reference, the corresponding neighboring array elements are matched one by one through the array layout, and the channel ID corresponding to the neighboring array element is associated (the health status code is 00 or 01, and the damaged channel does not participate in the neighbor matching).

[0107] For each damaged channel, generate an association record of damaged channel ID - affected neighbor channel ID - mutual coupling radius level to ensure accurate neighbor matching and no over-matching or under-matching;

[0108] Retrieve the mutual coupling coefficients (S21 and S12 parameters, including fixed amplitude and phase values) between the damaged channel and the neighboring channel from the static offline parameter table set.

[0109] The mutual coupling coefficients correspond one-to-one with the frequency ranges. Each frequency range corresponds to a fixed set of mutual coupling coefficients. If the damaged channel covers multiple frequency ranges, the corresponding mutual coupling coefficients are retrieved for each frequency range to ensure that the mutual coupling coefficients of different frequency ranges are accurately matched.

[0110] For each damaged channel and its corresponding neighboring channel, a complete mutual coupling diffusion mapping relationship is constructed, including: damaged channel ID, neighboring channel ID, mutual coupling radius level, frequency interval code, mutual coupling coefficient, and signal routing ratio (fixed to the ratio corresponding to the coupling coefficient).

[0111] The mutual coupling diffusion rule of the mutual coupling diffusion mapping relationship is as follows: the output signal of the damaged channel is set to zero, and the baseband signal that it should have output (with normal parameters configured according to the static routing vector) is weighted according to the coupling coefficient of the corresponding frequency range and routed to the affected neighboring channel; if a damaged channel corresponds to multiple neighboring channels (e.g., mutual coupling radius = 2), the routing signal is allocated according to the coupling coefficient ratio of each neighboring channel (e.g., neighboring channel 1 has a coupling coefficient of -2.3dB, neighboring channel 2 has a coupling coefficient of -3.5dB, and the allocation is based on the amplitude ratio).

[0112] For each channel in the list of damaged channels, complete the construction of the mutual coupling diffusion mapping relationship and generate batch mapping records to ensure that all damaged channels have a corresponding mapping relationship without omission;

[0113] Integrate all the mutual-coupled diffusion mapping relationship records to generate a mutual-coupled diffusion table.

[0114] The formation methods of the three-domain rule configuration system include:

[0115] Based on the static offline parameter table set, the clutter-jamming path parameter table (including terrain type, path type, angle range, reference parameters, etc.) and the nonlinear distortion parameter table (including power range, frequency difference range, AM-AM and AM-PM parameters, etc.) are retrieved. Typical radar operating scenarios are preset, including: ocean terrain clutter + direct jamming (suitable for ocean detection conditions), urban terrain clutter + catapult jamming (suitable for urban air defense conditions), mountain and forest terrain clutter + direct jamming (suitable for mountain and forest reconnaissance conditions), and desert terrain clutter + catapult jamming (suitable for desert detection conditions).

[0116] By combining terrain type and radar operating conditions, the trigger conditions for each path selection rule are constructed through multi-interval combination, matching corresponding path selection rules for various scenarios, and integrating them to form a scenario-driven path selection rule set;

[0117] The condition part of each path selection rule consists of a scene identifier and multiple intervals, including basic conditions, working conditions and condition logic.

[0118] Basic conditions: Terrain type code (Ocean=H, City=C, Mountain / Forest=S, Desert=D), Path type code (00=Clutter Direct, 01=Clutter Reflection, 10=Interference Direct, 11=Interference Ejection).

[0119] Operating conditions: Beam pointing azimuth angle interval code, elevation angle interval code, carrier frequency interval code, platform height interval code;

[0120] Conditional logic: The rule takes effect when all conditions are met simultaneously through "AND" logic combination;

[0121] Example: The conditions for rule P-001 (direct ocean clutter scenario) are: Scenario Identifier = Ocean AND Terrain Type Code = HAND Path Type Code = 00 AND Azimuth Range Code = A005 (20°-25°) AND Carrier Frequency Range Code = F003 (1.2GHz-1.3GHz).

[0122] The action part of each path selection rule is used to define the selected path set and parameter table index. Specifically, it is defined as follows: based on the path selection rule conditions, one or more sets of clutter and interference paths corresponding to the clutter-interference path parameter table are selected to form an active path list, which serves as the selected path set; then, a unique index is assigned to the active path list, which directly points to the corresponding path reference parameters (path loss, reference delay, etc.) in the clutter-interference path parameter table.

[0123] Example: The action of rule P-001 is: select the ocean topography direct clutter path set (3 paths), parameter index = H-A005-F003 (corresponding to the path parameters of ocean, 20°-25° azimuth angle, 1.2GHz-1.3GHz carrier frequency);

[0124] Meanwhile, for the two types of nonlinear effect events caused by receiver front-end power and frequency difference, a set of nonlinear triggering rules driven by power and frequency difference is constructed; among them, the first type of event is gain compression (triggered by input power exceeding the threshold, associated with AM-AM compression coefficient), and the second type of event is intermodulation interference (triggered by multiple interference frequency differences in a preset range, associated with second-order and third-order intermodulation product templates).

[0125] The triggering condition part of each nonlinear triggering rule consists of a combination of event type and quantization interval parameters; among them, the triggering condition for the gain compression event is defined as the instantaneous power interval code and the continuous sampling point threshold (fixed value, such as 3 sampling points); the triggering condition for the intermodulation interference event is defined as the interference frequency difference interval code, the number of interferences (≥2), and the instantaneous power interval code.

[0126] Example: The conditions for rule B-001 (gain compression trigger) are: event type = gain compression AND instantaneous power range code = P008 (-20dBm~-15dBm) AND continuous sampling points > 3;

[0127] The action part of each nonlinear triggering rule is defined as a nonlinear correction action and associated with static offline parameters. Among them, the gain compression action is to retrieve the AM-AM compression coefficient of the corresponding power range according to the parameter table index and compress the signal amplitude; the intermodulation interference action is to retrieve the intermodulation product template of the corresponding frequency difference range according to the parameter table index, generate additional intermodulation signals and superimpose them.

[0128] Example: The action of rule B-001 is: trigger gain compression correction, parameter index = L-P008 (corresponding to the AM-AM compression factor of LNA device, power range of -20dBm to -15dBm).

[0129] The path selection rule set and the nonlinear triggering rule set are integrated, and the relationship between the two types of rules is defined as the signal generated by path selection, which serves as the input signal for nonlinear triggering.

[0130] The two integrated rule sets are combined with the channel static routing vector set and the cross-coupled diffusion table to form a three-domain rule configuration system.

[0131] Among them, the mutual coupling diffusion rule is the channel domain rule, the path selection rule is the path domain rule, and the nonlinear triggering rule is the event domain rule.

[0132] The methods for performing geometric path matching and channel data stream addressing include:

[0133] Based on the three-domain rule configuration system and static offline parameter table set, the radar real-time status data is captured and parsed, including: time reference data (radar transmit pulse leading edge (global time reference, marked as T0)), beam pointing data (beam azimuth interval code, elevation interval code (consistent with angle quantization interval)), platform motion data (platform motion interval code (corresponding to speed and altitude intervals, the code matches the quantization intervals of distance and speed)), scene data (terrain type code, interference source status flag (0=no interference, 1=direct interference, 2=ejection interference)), carrier frequency data (radar operating carrier frequency interval code (consistent with frequency quantization interval)) and channel status data (real-time channel health status update code (used to supplement static routing vectors and mark temporary faulty channels)).

[0134] The captured real-time status data is decoded and converted into a standard format that matches the path selection rule conditions (e.g., converting the analog azimuth angle into the corresponding interval code A005); the channel static routing vector set is associated, the channel health status is updated, and a standardized real-time radar status data table is generated.

[0135] Based on the real-time radar status data table, all rules in the path selection rule set are traversed, and matching is performed according to multi-condition AND logic to trigger the corresponding rule action.

[0136] The specific matching operation is as follows:

[0137] Step 1: Filter out the path selection rules for the corresponding scenario based on the real-time terrain type code and interference source status flag (e.g., for ocean terrain + direct interference, filter out the P-001 series rules).

[0138] Step 2: Compare the real-time beam pointing interval code, carrier frequency interval code, and platform motion interval code with the filtered rule conditions one by one. When all conditions match completely, the rule takes effect.

[0139] Step 3: According to the action instructions of the effective rules, retrieve the reference parameters (path loss, reference delay, delay spread, Doppler spectrum broadening factor) of the corresponding active path from the clutter-interference path parameter table.

[0140] Step 4: Integrate all activation paths corresponding to effective rules, generate an activation path list, and label each path with its path ID, parameter index, and corresponding rule code to ensure that each path and parameter is associated one by one;

[0141] Based on the channel health status in the list of active paths and the channel static route vector set, combined with the mutual coupling diffusion table, a corresponding array element intermediate frequency channel is assigned to each active path, and channel routing addressing is performed in categories.

[0142] Specifically, if it is a healthy channel (status code 00): directly allocate the active path data stream, retrieve the amplitude and phase correction parameters of the corresponding frequency range according to the amplitude and phase offset and frequency variation constraint index in the channel static routing vector, and complete the data stream preprocessing;

[0143] Amplitude and phase abnormal channel (status code 01): Allocate the active path data stream, and on the basis of the healthy channel preprocessing, additionally call the amplitude and phase deviation in the array element mutual coupling parameter table to supplement and correct;

[0144] Completely damaged channel (status code 10): No original data stream is allocated (output is set to zero). According to the mapping relationship in the mutual coupling diffusion table, the active path data stream corresponding to this channel is weighted by the coupling coefficient and routed to the corresponding neighboring channel (healthy or amplitude-phase abnormal channel).

[0145] The integrated channel routing configuration table is generated, which marks the channel ID, health status, assigned activation path ID, data flow type (raw or coupled), and amplitude and phase correction parameter index of each channel, providing a basis for subsequent timing alignment.

[0146] Finally, using the radar transmit pulse leading edge (T0) as the global time reference, and combining the path reference delay and delay spread in the active path list, as well as the channel characteristics in the channel routing configuration table, a triple alignment is performed:

[0147] Step 1: Delay Alignment: Calculate the output time window (T0 + reference delay ~ T0 + reference delay + pulse width) of the signal for each active path based on the reference delay, to ensure time synchronization of signals from different paths;

[0148] Step 2: Doppler alignment: Based on the real-time platform motion interval code, retrieve the corresponding Doppler frequency shift value, add Doppler frequency shift correction to the data stream of each active path, and match the motion state of the radar platform;

[0149] Step 3: Channel timing alignment: For multi-channel data streams, correct the inherent time delay deviation of each channel (from the time delay parameter in amplitude and phase offset) to ensure that the signal output timing of all channels is consistent and there is no phase difference.

[0150] Methods for generating multi-channel intermediate frequency clutter and interference analog signals include:

[0151] Combining the activation path list, channel routing configuration table, and static offline parameter set, the baseband I / Q sampling point sequence (fixed 1024 points / pulse) of the corresponding radar transmitted waveform is retrieved from the waveform parameter table according to the path type (clutter, direct interference, ejection interference) in the activation path list, as the original signal base;

[0152] For each active path sampling point, the path loss and reference delay are retrieved from the clutter-interference path parameter table, and a two-step static correction is performed on the baseband sampling points:

[0153] The first step is amplitude correction: Adjust the amplitude of all sampling points proportionally according to the fixed value of path loss (e.g., if the loss is -20dB, the sampling point amplitude is ×0.1).

[0154] The second step is time delay alignment: according to the reference time delay, the sampling point sequence is shifted on the time axis to the determined output time window, and the gap is filled with zeros;

[0155] Based on the channel routing configuration table, for the path sampling points allocated to each channel, the amplitude and phase offset and frequency variation constraint index of the channel static routing vector set is called, and the corresponding correction value is retrieved according to the frequency interval code to complete the channel inherent deviation compensation of the sampling point amplitude and phase.

[0156] The corrected sampling point sequence is categorized by path ID-channel ID-sampling point timestamp to generate a single-path sampling point set;

[0157] Based on the channel routing configuration table, sampling points are superimposed according to the channel health status to ensure coherence (phase must be strictly aligned). For healthy channels and channels with abnormal amplitude and phase, all original path sampling points are superimposed. For the neighboring channels corresponding to damaged channels, the coupled sampling points of the damaged channel route are additionally superimposed (weighted according to the coupling coefficient of the mutual coupling diffusion table).

[0158] Next, using the radar sampling clock as a reference, all channels are traversed point by point. Single-path sampling point sets are matched according to channel ID. For all sampling points of the same channel and the same timestamp, vector coherent accumulation is performed (amplitude is calculated by vector sum, and phase is superimposed by angle sum). For sampling points of damaged channel routes, they are first weighted according to the coupling coefficient of the mutual coupling diffusion table, and then superimposed with the original sampling points of neighboring channels. After superposition, a channel superimposed sampling point set is generated.

[0159] Based on the channel superimposed sampling point set, extract the core data required for judgment, including the instantaneous power interval code of the sampling point and the frequency difference interval code of the active interference path. Then, traverse the nonlinear triggering rule set and complete the judgment point by sampling point or pulse by pulse according to AND logic, including gain compression judgment and intermodulation interference judgment.

[0160] The gain compression determination is as follows: if the instantaneous power interval code of the sampling point matches the rule condition and the number of continuous sampling points is greater than or equal to the threshold, it is marked as triggering gain compression.

[0161] Intermodulation interference determination: If there are ≥2 interference paths, and their frequency difference interval code and instantaneous power interval code simultaneously match the rule conditions, they are marked as triggering intermodulation interference;

[0162] For sampling points or pulses that are determined to trigger gain compression and trigger intermodulation interference, a nonlinear trigger instruction set is generated, and the trigger type (gain compression, intermodulation), channel ID, sampling point range and corresponding nonlinear distortion parameter table index are marked.

[0163] For the sampling points marked in the nonlinear trigger instruction set, the nonlinear distortion parameters (AM-AM compression coefficients) are retrieved from the nonlinear distortion parameter table according to the index of the nonlinear distortion parameter table, and the amplitude of the sampling point is compressed by a fixed ratio (e.g., coefficient 0.8, amplitude × 0.8), while the phase remains unchanged;

[0164] For the pulse that triggers intermodulation interference, the corresponding sampling point template in the second-order and third-order intermodulation product templates is retrieved according to the index of the nonlinear distortion parameter table. The template sampling points are then vector-superimposed with the original superimposed sampling points to complete the injection of intermodulation signal.

[0165] For sampling points that do not trigger nonlinear effects, the original data of the channel superimposed sampling points are directly retained without any additional processing;

[0166] According to the input amplitude range of the radar receiver (e.g., -1V to +1V), the final sampling points of all channels are proportionally normalized to ensure that the signal amplitude meets the hardware input requirements.

[0167] The normalized sampling point sequence is converted into a binary format (such as 16-bit two's complement) that is compatible with the subsequent DAC output, and stored separately according to channel ID, labeled with pulse number, sampling rate, and timestamp;

[0168] The standardized sampling point sequences of all channels are integrated to generate multi-channel intermediate frequency clutter and interference simulation signals.

[0169] Optimization methods for generating configuration parameters include:

[0170] Based on mid-frequency clutter and interference simulation signals, three core feedback indicators of the radar receiver are collected to cover clutter simulation, interference simulation, and channel adaptability, including: clutter feedback data (clutter suppression ratio (SCR), clutter spectrum matching degree (similarity to theoretical terrain clutter spectrum)), interference feedback data (interference suppression depth, intermodulation product identification rate (matching the receiver's nonlinear processing effect)) and channel adaptability feedback data (AGC voltage stability value of each array element channel, angle measurement error (reflecting the accuracy of channel routing and mutual coupling simulation)).

[0171] Then, the signals of the three types of feedback indicators are standardized and analyzed: the analog feedback signal of the receiver is converted from analog to digital, the measurement noise is removed by low-pass filtering, the filtered digital indicators are quantized and converted into standardized values, and then mapped to the interval code consistent with the previous stage (e.g., the interval code S005 is for clutter suppression ratio ≥30dB, and S004 is for 20-30dB).

[0172] The quantified feedback metric is compared with a preset expected threshold range, and the deviation value is used to locate the rule domain to which the deviation belongs.

[0173] If there are deviations in clutter or interference spectrum or suppression indicators, then the location is determined in the path domain (path selection rule); if there are deviations in the cross-modulation product recognition rate, then the location is determined in the event domain (nonlinear triggering rule); if there are deviations in AGC voltage or angle measurement error, then the location is determined in the channel domain (mutual coupling diffusion rule, channel routing parameters).

[0174] By integrating the analysis results, deviation values, and regular domain positioning information, a radar feedback data analysis report is generated, and the core deviation points (such as the clutter suppression ratio S003 < expected S005 in marine scenes, and the positioning path domain) are marked as the direct basis for subsequent parameter adjustments.

[0175] By combining radar feedback data reports and real-time radar status data, the correlation between deviation and operating conditions is analyzed to determine whether the deviation is caused by changes in operating conditions (such as beam pointing offset, carrier frequency switching); for radar operating condition parameters that have changed (beam pointing, carrier frequency, platform motion, terrain type), the corresponding interval codes are updated according to the rules of discrete interval quantization to generate an updated set of operating condition parameter interval codes.

[0176] Guided by the deviation positioning in the radar feedback data analysis report, the channel domain, path domain and event domain rule configuration parameters of the three-domain rule configuration system are adjusted in a pre-set fixed step size (each of the three domains is set to ±1 index interval) to ensure that the adjustment is accurate and reproducible.

[0177] Among them, the adjustment targets of the channel domain parameter adjustment (for the deviation of the channel adaptation index) are the mutual coupling coefficient index in the mutual coupling diffusion table and the amplitude and phase offset interval index in the channel static route vector set.

[0178] The adjustment rules are as follows: if the angle measurement error is too large, adjust the mutual coupling coefficient index by a step size of ±1 (to retrieve a more matching coupling coefficient); if the AGC voltage fluctuates greatly, adjust the amplitude and phase offset interval index to compensate for the inherent deviation of the channel.

[0179] The final adjusted channel domain rule parameters are obtained;

[0180] The adjustment targets for path domain parameter adjustment (for clutter and interference adaptation index deviations) are: rule triggering conditions in the path gating rule set and the activation path parameter index;

[0181] Adjustment rules: If the clutter suppression ratio does not meet the standard, adjust the beam pointing or carrier frequency interval triggering conditions by ±1 step (expand or narrow the rule matching range), or adjust the path parameter index (retrieve more suitable clutter path loss and time delay parameters).

[0182] The final adjusted path domain rule parameters are obtained;

[0183] The adjustment targets for event domain parameter adjustment (for nonlinear effect adaptation index deviation): power threshold interval code and frequency difference trigger interval code in the nonlinear triggering rule set;

[0184] Adjustment rules: If the intermodulation product recognition rate is too low, reduce the power threshold by ±1 steps (to expand the trigger range), or adjust the frequency difference interval code (to match the actual intermodulation response of the receiver); if the gain compression is excessive, adjust the power threshold in the opposite direction.

[0185] Finally, the adjusted event domain rule parameters are obtained; the adjusted parameters of the three domains are integrated to generate optimized configuration parameters adapted to the current radar operating conditions.

[0186] Methods for transmitting analog signals of intermediate frequency clutter and interference to a radar receiver via digital-to-analog conversion include:

[0187] The intermediate frequency clutter and interference analog signals from multiple channels are fed in parallel into the input buffer of the corresponding DAC channel according to the channel number. Then, the digital signals of each channel are re-aligned with the leading edge of the radar transmitted pulse as the global time reference to eliminate the micro-delay deviation caused by buffer transmission. Then, the digital sampling points are normalized and calibrated according to the input amplitude range of the radar receiver to avoid over-range distortion while preserving the dynamic range of the signal amplitude.

[0188] It should be noted that DAC is a digital-to-analog converter, used to convert digital quantities into continuous analog voltage or current. Multi-channel synchronous DAC is a DAC where multiple DAC channels complete the digital-to-analog conversion at the same time and under the same clock, resulting in multiple analog signals without time deviation. The principle is that multiple channels share a clock, are triggered at the same time, and update their outputs at the same time to eliminate the timing difference (i.e., phase or time offset) between channels.

[0189] Then, a synchronous conversion clock is sent to all DAC channels through the same source clock (to ensure that all channels start conversion on the same clock edge and achieve synchronization at the sampling point level), driving the multi-channel DAC to complete the conversion of digital sampling points to analog intermediate frequency signals in parallel;

[0190] The original analog signal generated after DAC conversion is subjected to anti-aliasing low-pass filtering to remove high-frequency spurious signals introduced by digital conversion; then impedance matching is performed according to the input impedance of the radar receiver front end (e.g., 50Ω), and the amplitude is finely adjusted according to the test requirements to ensure signal level adaptation; the physical output port corresponding to the damaged channel is zeroed and disabled, so that only the adjacent channel outputs the coupled analog signal, which is consistent with the mutual coupling diffusion rule;

[0191] The processed multi-channel analog intermediate frequency signal is synchronously transmitted to the radar receiver via a dedicated RF interface according to the array element channels, serving as the test input for the radar echo link; the radar transmit pulse synchronization trigger signal is also transmitted synchronously, allowing the receiver to perform timing alignment and pulse synchronization detection.

[0192] Methods for creating reusable datasets include:

[0193] Based on the intermediate frequency clutter and interference simulation signals sent to the radar receiver and the actual receiver response data, the effectiveness of the optimized configuration parameters is verified in multiple dimensions.

[0194] It should be noted that the measured response data of the receiver is the measured response data that the receiver synchronously collects and feeds back in real time after the signal is sent to the radar receiver. It includes clutter response (clutter suppression ratio, clutter spectrum matching degree), interference response (interference suppression depth, intermodulation product identification rate), channel and array response (channel AGC voltage, angle measurement error, channel amplitude and phase consistency), and nonlinear response (gain compression characteristics, intermodulation interference output characteristics, etc.).

[0195] The validity verification of intermediate frequency clutter and interference simulation includes: signal output validity verification, system adaptability verification, and configuration parameter validity verification;

[0196] Among them, the signal output validity verification is to check the consistency of the amplitude, phase, timing and channel of the analog signal sent to the receiver, check whether it meets the radar intermediate frequency input standard, and verify that the signal is not distorted, has no missing points and the channel synchronization accuracy meets the standard.

[0197] System compatibility verification involves comparing the receiver's measured parameters (clutter rejection ratio, interference rejection depth, angle measurement error, and nonlinear response matching degree) with thresholds preset by experts to verify the compatibility between the analog signal and the radar receiver and to confirm the iterative effect of the optimized parameters.

[0198] Verifying the validity of configuration parameters involves checking the completeness and logic of the optimized three-domain rule configuration parameters, channel static routing vectors, mutual coupling diffusion rules, and path selection rules, and confirming that the parameters can be directly reused for signal simulation under the same operating conditions.

[0199] If the signal output, system adaptation, and configuration parameters all meet the standards, the analog link is deemed to be fully functional and marked as completely effective.

[0200] Partially effective: If individual indicators deviate slightly but do not affect the core functionality and do not require a return to iteration, then it is determined to be partially effective;

[0201] If any of the three types of validity verification fails to meet the standard, the link is determined to be not closed, and the configuration parameters are returned for iterative optimization.

[0202] All fully valid and partially valid results are archived. All archived content is stored in categories according to radar operating conditions, terrain scenarios, and interference types to ensure convenient retrieval and clear traceability.

[0203] The archived configuration parameters, verification data, and data generated throughout the process are encapsulated according to scenarios to generate three types of standardized data packages, forming a reusable dataset. These include configuration parameter packages (three-domain rules, channel routing, and a complete set of parameters for mutual coupling diffusion that can be directly called), signal data packages (intermediate frequency analog signal reference samples and generation templates), and verification report packages (validity verification results and indicator thresholds for the corresponding operating conditions).

[0204] A reusable index is established for reusable datasets, supporting direct access to similar radar conditions without repeated configuration and iteration; finally, the entire process from data acquisition to verification and archiving is confirmed and solidified, forming a complete closed-loop mid-frequency clutter and interference simulation link. Example 2

[0205] Please see Figure 3 As shown, for parts not described in detail in this embodiment, please refer to the description in Embodiment 1. A broadband phased array radar intermediate frequency clutter and interference simulation system is provided, including:

[0206] Static parameter quantization module: Collects all raw physical data from the radar, and generates a static offline parameter table set through discrete interval quantization and key-value formatting.

[0207] The three-domain rule configuration module configures static routing vectors for the intermediate frequency channels of each array element based on the static offline parameter table set, establishes mutual coupling diffusion rules for the transmission of signals from damaged channels to neighboring elements, and constructs scenario-driven path selection rules and power frequency difference-driven nonlinear triggering rules to form a unified three-domain rule configuration system of channel domain, path domain and event domain.

[0208] Clutter and interference generation module: Based on the three-domain rule configuration system and the real-time acquired radar status data, it performs geometric path matching processing and channel data stream addressing processing, and then generates multi-channel intermediate frequency clutter and interference simulation signals through sampling point vector coherent superposition and instantaneous power threshold nonlinear distortion injection.

[0209] Closed-loop iterative optimization module: Based on the intermediate frequency clutter and interference simulation signal, the module updates the operating condition parameter interval code according to the real-time feedback data of the receiver, adjusts the three-domain rule configuration parameters according to the preset fixed step size, and generates optimized configuration parameters that are suitable for the current radar operating conditions.

[0210] Signal output verification module: Based on optimized configuration parameters and static offline parameter tables, the intermediate frequency clutter and interference analog signals are sent to the radar receiver through digital-to-analog conversion. The configuration parameters and verification data are archived through validity verification to form a reusable dataset. Example 3

[0211] This embodiment discloses an electronic device, including a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, it implements the operation mode of the broadband phased array radar intermediate frequency clutter and interference simulation system described above.

[0212] Since the electronic device described in this embodiment is the electronic device used to implement the broadband phased array radar intermediate frequency clutter and interference simulation method described in this application embodiment, those skilled in the art can understand the specific implementation method and various variations of the electronic device in this embodiment based on the broadband phased array radar intermediate frequency clutter and interference simulation method described in this application embodiment. Therefore, how the electronic device implements the method in this application embodiment will not be described in detail here. As long as those skilled in the art implement the broadband phased array radar intermediate frequency clutter and interference simulation method described in this application embodiment, the electronic device used is within the scope of protection of this application.

[0213] The above formulas are all dimensionless calculations. The formulas are derived from software simulations based on a large amount of collected data to obtain the most recent real-world results. The preset parameters and thresholds in the formulas are set by those skilled in the art according to the actual situation.

[0214] The above description is merely a preferred embodiment of the present invention, and the scope of protection of the present invention is not limited to the above embodiments. All technical solutions falling within the scope of the present invention's concept are within the scope of protection of the present invention. It should be noted that for users of ordinary technical skills, any improvements and modifications made without departing from the principles of the present invention should also be considered within the scope of protection of the present invention.

Claims

1. A method for simulating intermediate frequency clutter and interference in a broadband phased array radar, characterized in that, include: S1: Collect all raw physical data from the radar, and generate a static offline parameter table set by discrete interval quantization and key-value formatting. S2: Based on the static offline parameter table set, configure static routing vectors for the intermediate frequency channels of each array element, establish mutual coupling diffusion rules for the transmission of signals from damaged channels to neighboring elements, and at the same time construct scenario-driven path selection rules and power frequency difference-driven nonlinear triggering rules to form a unified three-domain rule configuration system of channel domain, path domain and event domain. The formation methods of the three-domain rule configuration system include: Based on the static offline parameter table set, the typical working scenarios of the radar are preset. Combined with the terrain type and radar working conditions, the trigger conditions of each path selection rule are constructed by combining multiple intervals. The corresponding path selection rules are matched for various scenarios and integrated to form a scenario-driven path selection rule set. Meanwhile, for the two types of nonlinear effect events caused by receiver front-end power and frequency difference, trigger conditions are set according to the quantization interval, corresponding nonlinear correction actions are defined and associated with static offline parameters, and a set of nonlinear triggering rules driven by power frequency difference is constructed. The mutual coupling diffusion rule is used as the channel domain rule, the path selection rule is used as the path domain rule, and the nonlinear triggering rule is used as the event domain rule, which are integrated into a three-domain rule configuration system; S3: Based on the three-domain rule configuration system and the real-time acquired radar status data, perform geometric path matching processing and channel data stream addressing processing, and then generate multi-channel intermediate frequency clutter and interference simulation signals through sampling point vector coherent superposition and instantaneous power threshold nonlinear distortion injection. The methods for generating multi-channel intermediate frequency clutter and interference analog signals include: Based on the list of active paths and the channel routing configuration table, combined with the static offline parameter table set, the radar transmit waveform baseband sampling point sequence is retrieved according to the path type. The sampling points of each active path are statically corrected, and the inherent deviation of each channel sampling point is compensated to generate a single path sampling point set. Based on the single-path sampling point set, perform multi-path sampling point vector coherent superposition according to the channel health status to generate a channel superimposed sampling point set; Based on the nonlinear triggering rule set, the instantaneous power and frequency difference matching of the channel superimposed sampling point set are used to determine the nonlinear distortion trigger, mark the corresponding sampling point or pulse, and generate a nonlinear triggering instruction set; Based on the nonlinear trigger instruction set, the nonlinear distortion parameters are retrieved through the nonlinear distortion parameter set, gain compression is performed on the marked sampling points, intermodulation products are injected into the marked pulses, and then the final sampling point sequences of all channels are integrated to generate multi-channel intermediate frequency clutter and interference analog signals. S4: Based on the intermediate frequency clutter and interference simulation signal, update the operating condition parameter interval code according to the real-time feedback data of the receiver, adjust the three-domain rule configuration parameters according to the preset fixed step size, and generate optimized configuration parameters adapted to the current radar operating condition. S5: Based on optimized configuration parameters and static offline parameter tables, the intermediate frequency clutter and interference analog signals are sent to the radar receiver through digital-to-analog conversion. The configuration parameters and verification data are archived through validity verification to form a reusable dataset.

2. The method for simulating intermediate frequency clutter and interference in a broadband phased array radar according to claim 1, characterized in that, The methods for generating the offline parameter table set include: Four types of data are collected: radar array channels, clutter interference propagation, receiver nonlinearity, and transmitted waveform, which serve as the raw physical data of the radar. For all raw physical data, discrete interval quantization is performed according to four dimensions: frequency, angle, power and distance. Index codes are generated for the quantized discrete data to form key-value pairs. Based on the data type of the original physical data, the key-value pairs are organized into four types of standardized tables, which are then solidified into four types of parameter tables: array element mutual coupling, clutter-interference path, nonlinear distortion, and waveform. These are then integrated to generate a static offline parameter table set.

3. The method for simulating intermediate frequency clutter and interference in a broadband phased array radar according to claim 2, characterized in that, The method of configuring static routing vectors for the intermediate frequency channels of each array element includes: Based on the static offline parameter table set, a unique identifier is assigned to each array element intermediate frequency channel and the channel working status and characteristic parameters are configured in sequence. All configurations are integrated to form a static routing vector for a single channel. Then, the static routing vectors of all array element intermediate frequency channels are batch collected and integrated into a channel static routing vector set.

4. The method for simulating intermediate frequency clutter and interference in a broadband phased array radar according to claim 3, characterized in that, The methods for establishing the mutual coupling diffusion rules for signals transmitted from damaged channels to neighboring routes include: Based on the static routing vector set of the channel, channels with a health status of completely destroyed are filtered and extracted to form a list of destroyed channels; Based on the mutual coupling radius of the damaged channel, the neighboring channel affected by the coupling is locked, and the corresponding mutual coupling coefficient is retrieved from the static offline parameter table for each frequency interval. For each damaged channel and its corresponding neighboring channel, a mutual coupling diffusion mapping relationship is constructed between the damaged channel, the neighboring channel, and the mutual coupling coefficient, forming a mutual coupling diffusion rule.

5. The method for simulating intermediate frequency clutter and interference in a broadband phased array radar according to claim 1, characterized in that, The methods for performing geometric path matching and channel data stream addressing include: Based on the three-domain rule configuration system and static offline parameter table set, capture and parse the real-time radar status data to generate a real-time radar status data table. Based on the path selection rule set, the real-time radar status and rule conditions after parsing are matched, the corresponding scene rules are filtered and the static parameters of the corresponding activation path are retrieved, and the activation path list is generated. Based on the channel health status in the list of active paths and the channel static route vector set, combined with the mutual coupling diffusion table, a corresponding array element intermediate frequency channel is assigned to each active path, channel routing addressing is performed by category, and a channel routing configuration table is generated.

6. The method for simulating intermediate frequency clutter and interference in a broadband phased array radar according to claim 1, characterized in that, The methods for generating the optimized configuration parameters include: Based on the simulated signals of intermediate frequency clutter and interference, clutter feedback data, interference feedback data and channel adaptability feedback data of radar receivers are collected and standardized for analysis. These are used as three types of indicators for deviation evaluation. Based on the identified deviation results, the corresponding rule domain of the positioning deviation is located by the three-domain rule configuration system, and a radar feedback data analysis report is generated. By combining radar feedback data reports and real-time radar status data, the correlation between deviation and operating conditions is analyzed, and the corresponding radar operating condition parameter range codes are updated. Then, guided by the deviation, the parameters are configured according to the preset fixed step size domain iterative rules of the channel domain, path domain and event domain to generate optimized configuration parameters that are suitable for the current radar operating conditions.

7. The method for simulating intermediate frequency clutter and interference in a broadband phased array radar according to claim 6, characterized in that, The method of transmitting the intermediate frequency clutter and interference analog signal to the radar receiver via digital-to-analog conversion includes: Using the leading edge of the radar transmitted pulse as the global time reference, the intermediate frequency clutter and interference analog signals of each channel are time-aligned and amplitude-calibrated. Then, the multi-channel DAC is driven by the same source clock to perform parallel digital-to-analog conversion, and the signals are synchronously sent to the radar receiver according to the correspondence of the array element channels.

8. The method for simulating intermediate frequency clutter and interference in a broadband phased array radar according to claim 7, characterized in that, The methods for forming reusable datasets include: Based on the intermediate frequency clutter and interference simulation signals sent to the radar receiver and the actual receiver response data, the optimized configuration parameters are validated in multiple dimensions. The validated configuration parameters and validation data are archived and packaged according to the operating conditions to form a reusable dataset.

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