Radar near-area target detection method and system based on half-pulse pressure factor

Abstract

The invention relates to the technical field of radar detection, in particular to a radar near-region target detection method and system based on a half-pulse pressure factor. Comprises: generating a factor library based on a transmission signal; acquiring radar feedback data, and setting a half-pulse execution strategy according to the radar feedback data and a preset compression processing model; performing pulse compression processing on the radar echo data according to a half-pulse execution strategy, and generating a waveform measurement result according to a pulse compression result and the splicing instruction; the method comprises the following steps: constructing various half-pulse pressure factors by using back-segment data of a full-pulse pressure factor, and performing pulse compression on radar echo data by dynamically adjusting processing parameters (a processing data segment proportion and the selected half-pulse pressure factor) of the half-pulse pressure when a target in a waveform mismatch interval is detected, so as to improve the signal-to-noise ratio, the main lobe-to-side lobe ratio and the ranging precision of the target.

Description

Technical Field

[0001] This application relates to the field of radar detection technology, and in particular to a radar near-field target detection method and system based on half-pulse compression factor. Background Technology

[0002] In pulse Doppler radar, the radar emits a simple rectangular pulse. However, an inherent contradiction exists in its range measurement: the radar's detection range depends on the pulse's energy. Higher energy results in a longer detection range. The pulse energy is calculated as: peak power × pulse width. When the transmitter's peak power is limited, increasing the pulse energy requires increasing the pulse width; however, increasing the pulse width negatively impacts the radar's ability to detect near-field targets.

[0003] During radar signal reception, to prevent leakage of the transmitted signal from affecting the quality of the received signal (and to prevent a strong received signal from directly burning out a sensitive receiver), the receiving channel is shielded during signal transmission. This shielding process affects the detection of near-field targets. When the target is very close, only the latter part of its echo signal is present. During pulse compression, the earlier part of the echo signal is shielded, causing waveform mismatch and resulting in a low peak signal-to-noise ratio (SNR) or the peak value being submerged in noise. The wider the radar pulse, the weaker the detection capability for near-field targets, and the larger the radar's detection blind zone. Summary of the Invention

[0004] The purpose of this application is to provide a radar near-field target detection method and system based on half-pulse compression factor to solve the above-mentioned technical problems, aiming to improve the detection capability of targets within the waveform mismatch interval.

[0005] In some embodiments of this application, multiple half-pulse compression factors are constructed using the latter part of the full pulse compression factor. When detecting targets within the waveform mismatch interval, the radar echo data is pulse-compressed by dynamically adjusting the processing parameters of the half-pulse compression factor (processing data segment ratio and selected half-pulse compression factor), thereby improving the target's signal-to-noise ratio, main-side lobe ratio, and ranging accuracy.

[0006] In some embodiments of this application, the data range of half-pulse compression processing is dynamically adjusted according to the current echo data. When the signal-to-noise ratio is high, the half-pulse compression processing range is expanded to improve the data processing speed. When the signal-to-noise ratio is low, the half-pulse compression processing range is narrowed to improve the detection performance and achieve a balance between detection accuracy and computational efficiency.

[0007] In some embodiments of this application, a radar near-field target detection method based on half-pulse compression factor is provided, including: Based on the transmitted signal generation factor library; Acquire radar feedback data and set the half-pulse execution strategy based on the radar feedback data and the preset compression processing model; The radar echo data is pulse compressed according to the half-pulse execution strategy, and waveform measurement results are generated based on the pulse compression results and splicing instructions. The factor library includes: a single whole pulse pressure factor and multiple half pulse pressure factors; Radar feedback data includes: basic radar data and radar echo data.

[0008] In some embodiments of this application, the preset compression processing model includes: Multiple preset radar modes; Establish a radar pattern sequence A, A=(a1, a2, ..., ai, ..., an), where ai is the i-th radar pattern and n is the number of radar patterns; Based on the radar mode sequence A, ai is sequentially set as the target mode; Define the baseline processing strategy for the target mode; The baseline processing strategy includes: half-pulse pressure processing range, data segment length, and segment-half-pulse pressure factor mapping table; Set auxiliary correction strategies for the target pattern; A half-pulse squeegee strategy for generating the target pattern is provided, wherein the half-pulse squeegee strategy includes a baseline processing strategy and an auxiliary correction strategy. The half-pulse squeegee strategies for each radar mode are generated sequentially, and a compression processing model is established based on all the half-pulse squeegee strategies.

[0009] In some embodiments of this application, the auxiliary correction strategy for setting the target mode includes: Multiple signal-to-noise ratio ranges can be preset; Select the target interval sequentially from all signal-to-noise ratio intervals; Set the range correction amount for the baseline processing strategy within the target range; Sequentially set the range correction amount of the baseline processing strategy in each signal-to-noise ratio range; An auxiliary correction strategy for generating the target pattern based on the correction values ​​across the entire range.

[0010] In some embodiments of this application, the setting of the half-pulse execution strategy includes: Multiple preset receiving time points; Obtain the radar basic data and radar echo data at the current receiving time point; The operating mode for the current receiving time node is constructed based on the radar's basic data; Generate the matching values ​​between the operating mode and each radar mode; The execution sub-strategy for the current receiving time node is selected based on all matching values; Generate the expected signal-to-noise ratio at the current reception time point; The execution correction amount for the current time point is selected based on the expected signal-to-noise ratio; The half-pulse execution strategy for the current receiving time node is generated based on the execution sub-strategy and the execution correction amount.

[0011] In some embodiments of this application, the pulse compression processing of the radar echo data includes: Obtain radar echo data at the current receiving time point; Full pulse compression data segments and half pulse compression data segments are generated based on the half pulse execution strategy and radar echo data; Establish the first and second storage spaces; Allocate the full pulse pressure factor to the first storage space and allocate all half pulse pressure factors to the second storage space; Set the pulse compression parameters for the full pulse pressure data segment and output the full pulse pressure result; Set the pulse compression parameters for the half-pulse pressure data segment and output the half-pulse pressure result.

[0012] In some embodiments of this application, the setting of pulse compression parameters for the half-pulse pressure data segment includes: The half-pulse execution strategy sets the segmentation instructions for the half-pulse pressure data segment, and generates multiple data sub-segments according to the segmentation instructions; Create a data subarray sequence B; B = (b1, b2, ..., bi, ..., bm), where bi is the i-th data segment generated from the half-pulse compression data segment; m is the number of data fields in the half-pulse compression data segment; Select the target data segments sequentially based on data segment sequence B; Set the segment-half-pulse pressure factor mapping table in the half-pulse execution strategy as a first-level mapping table; The mapping half-pulse pressure factor of the target data segment is set according to the first-level mapping table; Select the mapping half-pulse pressure factor for each data segment in sequence; The pulse compression parameters of the half-pulse pressure data segment are set according to all mapped half-pulse pressure factors.

[0013] In some embodiments of this application, a radar near-field target detection system based on half-pulse compression factor is provided, comprising: A factor unit is used to generate a factor library based on the transmitted signal, the factor library including: a full pulse pressure factor and multiple half pulse pressure factors; The central operations unit is used to acquire radar feedback data; The radar feedback data includes: basic radar data and radar echo data; The central operating unit includes: The first processing module is used to establish the compression processing model; The second processing module is used to set the half-pulse execution strategy based on radar feedback data and a preset compression processing model. The third processing module is used to perform pulse compression processing on radar echo data according to the half-pulse execution strategy, and generate waveform measurement results based on the pulse compression results and splicing instructions.

[0014] In some embodiments of this application, the first processing module is further configured to: Multiple preset radar modes; Establish a radar pattern sequence A, A=(a1, a2, ..., ai, ..., an), where ai is the i-th radar pattern and n is the number of radar patterns; Based on the radar mode sequence A, ai is sequentially set as the target mode; Define the baseline processing strategy for the target mode; The baseline processing strategy includes: half-pulse pressure processing range, data segment length, and segment-half-pulse pressure factor mapping table; Set auxiliary correction strategies for the target pattern; A half-pulse squeegee strategy for generating the target pattern is provided, wherein the half-pulse squeegee strategy includes a baseline processing strategy and an auxiliary correction strategy. The half-pulse squeegee strategy for each radar mode is generated sequentially, and a compression processing model is established based on all the half-pulse squeegee strategies. Among them, the auxiliary correction strategy for setting the target mode includes: Multiple signal-to-noise ratio ranges can be preset; Select the target interval sequentially from all signal-to-noise ratio intervals; Set the range correction amount for the baseline processing strategy within the target range; Sequentially set the range correction amount of the baseline processing strategy in each signal-to-noise ratio range; An auxiliary correction strategy for generating the target pattern based on the correction values ​​across the entire range.

[0015] In some embodiments of this application, the second processing module is further configured to: Multiple preset receiving time points; Obtain the radar basic data and radar echo data at the current receiving time point; The operating mode for the current receiving time node is constructed based on the radar's basic data; Generate the matching values ​​between the operating mode and each radar mode; The execution sub-strategy for the current receiving time node is selected based on all matching values; Generate the expected signal-to-noise ratio at the current reception time point; The execution correction amount for the current time point is selected based on the expected signal-to-noise ratio; The half-pulse execution strategy for the current receiving time node is generated based on the execution sub-strategy and the execution correction amount.

[0016] In some embodiments of this application, the third processing module is further configured to: Obtain radar echo data at the current receiving time point; Full pulse compression data segments and half pulse compression data segments are generated based on the half pulse execution strategy and radar echo data; Establish the first and second storage spaces; Allocate the full pulse pressure factor to the first storage space and allocate all half pulse pressure factors to the second storage space; Set the pulse compression parameters for the full pulse pressure data segment and output the full pulse pressure result; Set the pulse compression parameters for the half-pulse pressure data segment and output the half-pulse pressure result; The pulse compression parameters for the half-pulse compression data segment are set, including: The half-pulse execution strategy sets the segmentation instructions for the half-pulse pressure data segment, and generates multiple data sub-segments according to the segmentation instructions; Create a data subarray sequence B; B = (b1, b2, ..., bi, ..., bm), where bi is the i-th data segment generated from the half-pulse compression data segment; m is the number of data fields in the half-pulse compression data segment; Select the target data segments sequentially based on data segment sequence B; Set the segment-half-pulse pressure factor mapping table in the half-pulse execution strategy as a first-level mapping table; The mapping half-pulse pressure factor of the target data segment is set according to the first-level mapping table; Select the mapping half-pulse pressure factor for each data segment in sequence; The pulse compression parameters of the half-pulse pressure data segment are set according to all mapped half-pulse pressure factors.

[0017] Compared with existing technologies, the radar near-field target detection method and system based on half-pulse compression factor proposed in this application have the following advantages: By utilizing the latter part of the full pulse compression factor, various half pulse compression factors are constructed. When detecting targets within the waveform mismatch interval, the processing parameters of the half pulse compression factor (processing data segment ratio and selected half pulse compression factor) are dynamically adjusted to compress the radar echo data, thereby improving the target's signal-to-noise ratio, main-side lobe ratio, and ranging accuracy.

[0018] The data range of half-pulse compression processing is dynamically adjusted based on the current echo data. When the signal-to-noise ratio is high, the half-pulse compression processing range is expanded to improve the data processing speed. When the signal-to-noise ratio is low, the half-pulse compression processing range is narrowed to improve detection performance and achieve a balance between detection accuracy and computational efficiency. Attached Figure Description

[0019] Figure 1 This is a flowchart illustrating a radar near-field target detection method based on half-pulse compression factor in a preferred embodiment of this application. Detailed Implementation

[0020] The specific embodiments of this application will be described in further detail below with reference to the accompanying drawings and examples. The following examples are used to illustrate this application, but are not intended to limit the scope of this application.

[0021] In the description of this application, it should be understood that the terms "center", "upper", "lower", "front", "rear", "left", "right", "vertical", "horizontal", "top", "bottom", "inner", "outer", etc., indicate the orientation or positional relationship based on the orientation or positional relationship shown in the accompanying drawings. They are only for the convenience of describing this application and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, or be constructed and operated in a specific orientation. Therefore, they should not be construed as limitations on this application.

[0022] The terms "first" and "second" are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the number of technical features indicated. Therefore, a feature defined as "first" or "second" may explicitly or implicitly include one or more of that feature. In the description of this application, unless otherwise stated, "a plurality of" means two or more.

[0023] In the description of this application, it should be noted that, unless otherwise expressly specified and limited, the terms "installation," "connection," and "linking" should be interpreted broadly. For example, they can refer to a fixed connection, a detachable connection, or an integral connection; they can refer to a mechanical connection or an electrical connection; they can refer to a direct connection or an indirect connection through an intermediate medium; and they can refer to the internal connection between two components. Those skilled in the art can understand the specific meaning of the above terms in this application based on the specific circumstances.

[0024] like Figure 1 As shown, a preferred embodiment of this application provides a radar near-field target detection method based on half-pulse compression factor, comprising: S101: Based on the transmitted signal generation factor library; S102: Obtain radar feedback data and set the half-pulse execution strategy based on the radar feedback data and the preset compression processing model; S103: Perform pulse compression processing on radar echo data according to the half-pulse execution strategy, and generate waveform measurement results based on the pulse compression results and splicing instructions; The factor library includes: a single whole pulse pressure factor and multiple half pulse pressure factors; Radar feedback data includes: basic radar data and radar echo data.

[0025] Specifically, the complex envelope (baseband signal) of the radar transmitted signal is discretized and sampled to generate a digital sequence. The digital sequence is then reversed and conjugated. The calculated floating-point coefficients are normalized and quantized at fixed points to generate a full pulse compression factor (matched filter). When the full pulse compression factor is convolved with the radar echo data, a sharp peak (main lobe) is generated at the target location, thereby achieving pulse compression.

[0026] Specifically, multiple half-pulse pressure factors are generated by selecting different segmentation ratios of the latter part of the whole pulse pressure factor. For example, the last three-quarters of the whole pulse pressure factor is selected as one half-pulse pressure factor, the last half of the whole pulse pressure factor is selected as one half-pulse pressure factor, and the last quarter of the whole pulse pressure factor is selected as one half-pulse pressure factor.

[0027] Specifically, radar basic data refers to the data used to determine the radar's operating mode, including but not limited to: system power-on time, operator instructions, number of targets and stability, and other parameters. Multiple characteristic indicators are set based on all parameters, and each characteristic indicator represents a type of data used to determine the radar's operating mode.

[0028] Specifically, the preset compression processing model includes: Multiple preset radar modes; Establish a radar pattern sequence A, A=(a1, a2, ..., ai, ..., an), where ai is the i-th radar pattern and n is the number of radar patterns; Based on the radar mode sequence A, ai is sequentially set as the target mode; Define the baseline processing strategy for the target mode; The baseline processing strategy includes: half-pulse pressure processing range, data segment length, and segment-half-pulse pressure factor mapping table; Set auxiliary correction strategies for the target pattern; The half-pulse squeegee strategy for generating the target pattern includes: a baseline processing strategy and an auxiliary correction strategy. The half-pulse squeegee strategies for each radar mode are generated sequentially, and a compression processing model is established based on all the half-pulse squeegee strategies.

[0029] Specifically, multiple operating modes are selected based on the radar's historical operating data (i.e., the recorded data of the search and detection process, including relevant radar operating data and radar echo signal processing data). The operating modes include: search mode, acquisition mode, and tracking mode. On this basis, further refinement can be achieved, such as acquisition mode for high-speed moving objects. Multiple radar modes are set based on all the generated operating modes, where a single radar mode represents one operating mode.

[0030] Specifically, relevant data for the target mode are selected from historical operational data, and through optimization analysis, the corresponding half-pulse compression processing range, data segment length, and segment-half-pulse compression factor mapping table are generated. Among them, the half-pulse compression processing range refers to the proportion of radar echo data segmented into half-pulse compression data segments after acquisition in the target mode.

[0031] Specifically, the data segment length refers to the segmentation accuracy of the half-pulse pressure data segment. The larger the data segment length, the lower the corresponding accuracy. By setting the data segment length, the half-pulse pressure data segment can be subdivided into multiple continuous sub-segments.

[0032] Specifically, the segmented-half-pulse pressure factor mapping table analyzes historical operational data and assigns half-pulse pressure factors of varying lengths based on different distances from the target. This ensures that segments closer to the target use longer factors for higher accuracy, while segments farther away use shorter factors for faster computation. Through dynamic matching, processing accuracy smoothly increases with distance, avoiding performance spikes caused by a single factor.

[0033] For example, in search mode, computational speed is prioritized. In this mode, the half-pulse compression processing range is large, and the data segment length is relatively long. The average length of the half-pulse compression factor used is relatively short, thereby quickly covering a large area of ​​airspace. In acquisition mode, the half-pulse compression processing range is lower than that in search mode, and the data segment length begins to decrease, improving the fine processing capability. The specific parameter configurations of each radar mode can be comprehensively set by combining historical operating parameters and the needs of different modes.

[0034] Specifically, the auxiliary correction strategies for setting the target pattern include: Multiple signal-to-noise ratio ranges can be preset; Select the target interval sequentially from all signal-to-noise ratio intervals; Set the range correction amount for the baseline processing strategy within the target range; Sequentially set the range correction amount of the baseline processing strategy in each signal-to-noise ratio range; An auxiliary correction strategy for generating the target pattern based on the correction values ​​across the entire range.

[0035] Specifically, by analyzing relevant data on the target pattern, a signal-to-noise ratio (SNR) range within the target pattern is generated and uniformly divided into multiple SNR intervals. The signal quality mapped to each SNR interval differs significantly. Through analysis, a range correction amount (i.e., the correction amount of the half-pulse compression factor processing range in the baseline processing strategy for the target pattern) is set for each SNR interval. For example, in intervals with high SNR, where signal quality is high, increasing the processing range of the half-pulse compression factor can still reliably detect the target. In intervals with low SNR, where the signal is poor, the processing range of the half-pulse compression factor needs to be reduced to ensure detection performance. The mapping relationship between the SNR intervals and the correction amount can be set by analyzing historical data, thereby improving robustness in complex electromagnetic environments.

[0036] It is understood that in the above embodiments, multiple half-pulse compression factors are constructed using the latter part of the full pulse compression factor. When detecting targets within the waveform mismatch interval, the radar echo data is pulse-compressed by dynamically adjusting the processing parameters of the half-pulse compression factor (processing data segment ratio and selected half-pulse compression factor), thereby improving the target's signal-to-noise ratio, main-side lobe ratio, and ranging accuracy.

[0037] In a preferred embodiment of this application, a half-pulse execution strategy is set, including: Multiple preset receiving time points; Obtain the radar basic data and radar echo data at the current receiving time point; The operating mode for the current receiving time node is constructed based on the radar's basic data; Generate the matching values ​​between the operating mode and each radar mode; The execution sub-strategy for the current receiving time node is selected based on all matching values; Generate the expected signal-to-noise ratio at the current reception time point; The execution correction amount for the current time point is selected based on the expected signal-to-noise ratio; The half-pulse execution strategy for the current receiving time node is generated based on the execution sub-strategy and the execution correction amount.

[0038] Specifically, multiple receiving time nodes are set according to the radar pulse period. Each receiving time node can collect radar echo data (i.e., radar echo signal) for a single pulse period, and the pulses corresponding to the radar echo signals acquired at each receiving time node are continuous.

[0039] Specifically, a matching value is set by obtaining the similarity between the real-time parameters of each feature index in the radar's basic data and the parameters corresponding to each feature index in the current radar mode. The greater the similarity, the larger the matching value. The half-pulse compression sub-strategy of the radar mode corresponding to the maximum value among all matching values ​​(i.e., the working mode corresponding to the current radar's working state) is selected as the execution sub-strategy.

[0040] Specifically, by estimating the collected radar echo data, a real-time expected signal-to-noise ratio is generated, and the range correction amount corresponding to the expected signal-to-noise ratio interval is set as the execution correction amount.

[0041] It is understandable that in the above embodiments, the data range of half-pulse compression processing is dynamically adjusted according to the current echo data. When the signal-to-noise ratio is high, the half-pulse compression processing range is expanded to improve the data processing speed. When the signal-to-noise ratio is low, the half-pulse compression processing range is narrowed to improve the detection performance and achieve a balance between detection accuracy and computational efficiency.

[0042] In a preferred embodiment of this application, pulse compression processing is performed on the radar echo data, including: Obtain radar echo data at the current receiving time point; Full pulse compression data segments and half pulse compression data segments are generated based on the half pulse execution strategy and radar echo data; Establish the first and second storage spaces; Allocate the full pulse pressure factor to the first storage space and allocate all half pulse pressure factors to the second storage space; Set the pulse compression parameters for the full pulse pressure data segment and output the full pulse pressure result; Set the pulse compression parameters for the half-pulse pressure data segment and output the half-pulse pressure result.

[0043] Specifically, the full pulse pressure factor and the half pulse pressure factor are stored in different ROMs, so that the full pulse pressure calculation and the half pulse pressure calculation can be run in parallel during FPGA processing.

[0044] Specifically, the current half-pulse pressure data ratio is set according to the half-pulse pressure processing range selected in the execution sub-strategy and the selected execution correction amount. The radar echo data is segmented according to the set half-pulse pressure data ratio. The data corresponding to the first segment of the waveform mismatch interval (half-pulse pressure data ratio) is allocated to the half-pulse pressure factor for pulse compression, and the remaining data is allocated to the full-pulse pressure factor for pulse compression.

[0045] Specifically, the pulse compression parameters for the half-pulse compression data segment are set, including: The half-pulse execution strategy sets the segmentation instructions for the half-pulse pressure data segment, and generates multiple data sub-segments according to the segmentation instructions; Create a data subarray sequence B; B = (b1, b2, ..., bi, ..., bm), where bi is the i-th data segment generated from the half-pulse compression data segment; m is the number of data fields in the half-pulse compression data segment; Select the target data segments sequentially based on data segment sequence B; Set the segment-half-pulse pressure factor mapping table in the half-pulse execution strategy as a first-level mapping table; The mapping half-pulse pressure factor of the target data segment is set according to the first-level mapping table; Select the mapping half-pulse pressure factor for each data segment in sequence; The pulse compression parameters of the half-pulse pressure data segment are set according to all mapped half-pulse pressure factors.

[0046] Specifically, the complete waveform measurement result is obtained by placing the half-pulse pressure data first and then horizontally stitching the full-pulse pressure data after the half-pulse pressure data.

[0047] Specifically, the length of each data segment in the segmentation result is the same as the length of the half-pulse pressure data segment selected in the half-pulse execution strategy.

[0048] Specifically, the mapped half-pulse pressure factor refers to the half-pulse pressure factor assigned in the first-level mapping table based on the distance between the target data segment and the detected target.

[0049] Understandably, in the above embodiments, by dynamically matching different half-pulse compression factors, segments closer to the potential target location use longer factors and have higher accuracy, while segments farther away use shorter factors and have faster computation. Through dynamic matching, the processing accuracy smoothly increases with distance, avoiding the performance abrupt changes caused by a single factor.

[0050] In another preferred embodiment of the radar near-field target detection method based on half-pulse compression factor according to any of the above preferred embodiments, this preferred embodiment provides a radar near-field target detection system based on half-pulse compression factor, comprising: The factor unit is used to generate a factor library based on the transmitted signal. The factor library includes a single full pulse pressure factor and multiple half pulse pressure factors. The central operations unit is used to acquire radar feedback data; Radar feedback data includes: basic radar data and radar echo data; The central operating unit includes: The first processing module is used to establish the compression processing model; The second processing module is used to set the half-pulse execution strategy based on radar feedback data and a preset compression processing model. The third processing module is used to perform pulse compression processing on radar echo data according to the half-pulse execution strategy, and generate waveform measurement results based on the pulse compression results and splicing instructions.

[0051] In a preferred embodiment of this application, the first processing module is further configured to: Multiple preset radar modes; Establish a radar pattern sequence A, A=(a1, a2, ..., ai, ..., an), where ai is the i-th radar pattern and n is the number of radar patterns; Based on the radar mode sequence A, ai is sequentially set as the target mode; Define the baseline processing strategy for the target mode; The baseline processing strategy includes: half-pulse pressure processing range, data segment length, and segment-half-pulse pressure factor mapping table; Set auxiliary correction strategies for the target pattern; The half-pulse squeegee strategy for generating the target pattern includes: a baseline processing strategy and an auxiliary correction strategy. The half-pulse squeegee strategy for each radar mode is generated sequentially, and a compression processing model is established based on all the half-pulse squeegee strategies. Among them, the auxiliary correction strategy for setting the target mode includes: Multiple signal-to-noise ratio ranges can be preset; Select the target interval sequentially from all signal-to-noise ratio intervals; Set the range correction amount for the baseline processing strategy within the target range; Sequentially set the range correction amount of the baseline processing strategy in each signal-to-noise ratio range; An auxiliary correction strategy for generating the target pattern based on the correction values ​​across the entire range.

[0052] In a preferred embodiment of this application, the second processing module is further configured to: Multiple preset receiving time points; Obtain the radar basic data and radar echo data at the current receiving time point; The operating mode for the current receiving time node is constructed based on the radar's basic data; Generate the matching values ​​between the operating mode and each radar mode; The execution sub-strategy for the current receiving time node is selected based on all matching values; Generate the expected signal-to-noise ratio at the current reception time point; The execution correction amount for the current time point is selected based on the expected signal-to-noise ratio; The half-pulse execution strategy for the current receiving time node is generated based on the execution sub-strategy and the execution correction amount.

[0053] In a preferred embodiment of this application, the third processing module is further configured to: Obtain radar echo data at the current receiving time point; Full pulse compression data segments and half pulse compression data segments are generated based on the half pulse execution strategy and radar echo data; Establish the first and second storage spaces; Allocate the full pulse pressure factor to the first storage space and allocate all half pulse pressure factors to the second storage space; Set the pulse compression parameters for the full pulse pressure data segment and output the full pulse pressure result; Set the pulse compression parameters for the half-pulse pressure data segment and output the half-pulse pressure result; The pulse compression parameters for the half-pulse compression data segment are set, including: The half-pulse execution strategy sets the segmentation instructions for the half-pulse pressure data segment, and generates multiple data sub-segments according to the segmentation instructions; Create a data subarray sequence B; B = (b1, b2, ..., bi, ..., bm), where bi is the i-th data segment generated from the half-pulse compression data segment; m is the number of data fields in the half-pulse compression data segment; Select the target data segments sequentially based on data segment sequence B; Set the segment-half-pulse pressure factor mapping table in the half-pulse execution strategy as a first-level mapping table; The mapping half-pulse pressure factor of the target data segment is set according to the first-level mapping table; Select the mapping half-pulse pressure factor for each data segment in sequence; The pulse compression parameters of the half-pulse pressure data segment are set according to all mapped half-pulse pressure factors.

[0054] According to the first concept of this application, multiple half-pulse compression factors are constructed using the latter part of the full pulse compression factor. When detecting targets within the waveform mismatch interval, the radar echo data is pulse compressed by dynamically adjusting the processing parameters of the half-pulse compression factor (processing data segment ratio and selected half-pulse compression factor), thereby improving the target's signal-to-noise ratio, main-side lobe ratio and ranging accuracy.

[0055] According to the second concept of this application, the data range of half-pulse compression processing is dynamically adjusted based on the current echo data. When the signal-to-noise ratio is high, the half-pulse compression processing range is expanded to improve the data processing speed. When the signal-to-noise ratio is low, the half-pulse compression processing range is narrowed to improve the detection performance and achieve a balance between detection accuracy and computational efficiency.

[0056] The above description is only a preferred embodiment of this application. It should be noted that for those skilled in the art, several improvements and substitutions can be made without departing from the technical principles of this application, and these improvements and substitutions should also be considered within the scope of protection of this application.

Claims

1. A radar near-field target detection method based on half-pulse compression factor, characterized in that, include: Based on the transmitted signal generation factor library; Acquire radar feedback data and set the half-pulse execution strategy based on the radar feedback data and the preset compression processing model; The radar echo data is pulse compressed according to the half-pulse execution strategy, and waveform measurement results are generated based on the pulse compression results and splicing instructions. The factor library includes: a single whole pulse pressure factor and multiple half pulse pressure factors; Radar feedback data includes: basic radar data and radar echo data.

2. The radar near-field target detection method based on half-pulse compression factor as described in claim 1, characterized in that, The preset compression processing model includes: Multiple preset radar modes; Establish a radar pattern sequence A, A=(a1, a2, ..., ai, ..., an), where ai is the i-th radar pattern and n is the number of radar patterns; Based on the radar mode sequence A, ai is sequentially set as the target mode; Define the baseline processing strategy for the target mode; The baseline processing strategy includes: half-pulse pressure processing range, data segment length, and segment-half-pulse pressure factor mapping table; Set auxiliary correction strategies for the target pattern; A half-pulse squeegee strategy for generating the target pattern is provided, wherein the half-pulse squeegee strategy includes a baseline processing strategy and an auxiliary correction strategy. The half-pulse squeegee strategies for each radar mode are generated sequentially, and a compression processing model is established based on all the half-pulse squeegee strategies.

3. The radar near-field target detection method based on half-pulse compression factor as described in claim 2, characterized in that, The auxiliary correction strategy for setting the target mode includes: Multiple signal-to-noise ratio ranges can be preset; Select the target interval sequentially from all signal-to-noise ratio intervals; Set the range correction amount for the baseline processing strategy within the target range; Sequentially set the range correction amount of the baseline processing strategy in each signal-to-noise ratio range; An auxiliary correction strategy for generating the target pattern based on the correction values ​​across the entire range.

4. The radar near-field target detection method based on half-pulse compression factor as described in claim 3, characterized in that, The set half-pulse execution strategy includes: Multiple preset receiving time points; Obtain the radar basic data and radar echo data at the current receiving time point; The operating mode for the current receiving time node is constructed based on the radar's basic data; Generate the matching values ​​between the operating mode and each radar mode; The execution sub-strategy for the current receiving time node is selected based on all matching values; Generate the expected signal-to-noise ratio at the current reception time point; The execution correction amount for the current time point is selected based on the expected signal-to-noise ratio; The half-pulse execution strategy for the current receiving time node is generated based on the execution sub-strategy and the execution correction amount.

5. The radar near-field target detection method based on half-pulse compression factor as described in claim 4, characterized in that, The pulse compression processing of the radar echo data includes: Obtain radar echo data at the current receiving time point; Full pulse compression data segments and half pulse compression data segments are generated based on the half pulse execution strategy and radar echo data; Establish the first and second storage spaces; Allocate the full pulse pressure factor to the first storage space and allocate all half pulse pressure factors to the second storage space; Set the pulse compression parameters for the full pulse pressure data segment and output the full pulse pressure result; Set the pulse compression parameters for the half-pulse pressure data segment and output the half-pulse pressure result.

6. The radar near-field target detection method based on half-pulse compression factor as described in claim 5, characterized in that, The pulse compression parameters for setting the half-pulse pressure data segment include: The half-pulse execution strategy sets the segmentation instructions for the half-pulse pressure data segment, and generates multiple data sub-segments according to the segmentation instructions; Create a data subarray sequence B; B = (b1, b2, ..., bi, ..., bm), where bi is the i-th data segment generated from the half-pulse compression data segment; m is the number of data fields in the half-pulse compression data segment; Select the target data segments sequentially based on data segment sequence B; Set the segment-half-pulse pressure factor mapping table in the half-pulse execution strategy as a first-level mapping table; The mapping half-pulse pressure factor of the target data segment is set according to the first-level mapping table; Select the mapping half-pulse pressure factor for each data segment in sequence; The pulse compression parameters of the half-pulse pressure data segment are set according to all mapped half-pulse pressure factors.

7. A radar near-field target detection system based on half-pulse compression factor, employing the radar near-field target detection method based on half-pulse compression factor as described in any one of claims 1-6, characterized in that, include: A factor unit is used to generate a factor library based on the transmitted signal, the factor library including: a full pulse pressure factor and multiple half pulse pressure factors; The central operations unit is used to acquire radar feedback data; The radar feedback data includes: basic radar data and radar echo data; The central operating unit includes: The first processing module is used to establish the compression processing model; The second processing module is used to set the half-pulse execution strategy based on radar feedback data and a preset compression processing model. The third processing module is used to perform pulse compression processing on radar echo data according to the half-pulse execution strategy, and generate waveform measurement results based on the pulse compression results and splicing instructions.

8. The radar near-field target detection system based on half-pulse compression factor as described in claim 7, characterized in that, The first processing module is also used for: Multiple preset radar modes; Establish a radar pattern sequence A, A=(a1, a2, ..., ai, ..., an), where ai is the i-th radar pattern and n is the number of radar patterns; Based on the radar mode sequence A, ai is sequentially set as the target mode; Define the baseline processing strategy for the target mode; The baseline processing strategy includes: half-pulse pressure processing range, data segment length, and segment-half-pulse pressure factor mapping table; Set auxiliary correction strategies for the target pattern; A half-pulse squeegee strategy for generating the target pattern is provided, wherein the half-pulse squeegee strategy includes a baseline processing strategy and an auxiliary correction strategy. The half-pulse squeegee strategy for each radar mode is generated sequentially, and a compression processing model is established based on all the half-pulse squeegee strategies. Among them, the auxiliary correction strategy for setting the target mode includes: Multiple signal-to-noise ratio ranges can be preset; Select the target interval sequentially from all signal-to-noise ratio intervals; Set the range correction amount for the baseline processing strategy within the target range; Sequentially set the range correction amount of the baseline processing strategy in each signal-to-noise ratio range; An auxiliary correction strategy for generating the target pattern based on the correction values ​​across the entire range.

9. The radar near-field target detection system based on half-pulse compression factor as described in claim 8, characterized in that, The second processing module is also used for: Multiple preset receiving time points; Obtain the radar basic data and radar echo data at the current receiving time point; The operating mode for the current receiving time node is constructed based on the radar's basic data; Generate the matching values ​​between the operating mode and each radar mode; The execution sub-strategy for the current receiving time node is selected based on all matching values; Generate the expected signal-to-noise ratio at the current reception time point; The execution correction amount for the current time point is selected based on the expected signal-to-noise ratio; The half-pulse execution strategy for the current receiving time node is generated based on the execution sub-strategy and the execution correction amount.

10. The radar near-field target detection system based on half-pulse compression factor as described in claim 9, characterized in that, The third processing module is also used for: Obtain radar echo data at the current receiving time point; Full pulse compression data segments and half pulse compression data segments are generated based on the half pulse execution strategy and radar echo data; Establish the first and second storage spaces; Allocate the full pulse pressure factor to the first storage space and allocate all half pulse pressure factors to the second storage space; Set the pulse compression parameters for the full pulse pressure data segment and output the full pulse pressure result; Set the pulse compression parameters for the half-pulse pressure data segment and output the half-pulse pressure result; The pulse compression parameters for the half-pulse compression data segment are set, including: The half-pulse execution strategy sets the segmentation instructions for the half-pulse pressure data segment, and generates multiple data sub-segments according to the segmentation instructions; Create a data subarray sequence B; B = (b1, b2, ..., bi, ..., bm), where bi is the i-th data segment generated from the half-pulse compression data segment; m is the number of data fields in the half-pulse compression data segment; Select the target data segments sequentially based on data segment sequence B; Set the segment-half-pulse pressure factor mapping table in the half-pulse execution strategy as a first-level mapping table; The mapping half-pulse pressure factor of the target data segment is set according to the first-level mapping table; Select the mapping half-pulse pressure factor for each data segment in sequence; The pulse compression parameters of the half-pulse pressure data segment are set according to all mapped half-pulse pressure factors.

Images