Pulse compression blind area recovery method based on long and short pulse fusion

Abstract

The invention relates to the technical field of radar signal processing, and provides a pulse compression blind area recovery method based on long and short pulse fusion, which comprises the following steps: transmitting a long pulse and a short pulse in a time division multiplexing mode, and obtaining echo signals of the long pulse and the short pulse; performing digital conversion on the echo signals of the long pulse and the short pulse to obtain long pulse baseband signal data and short pulse baseband signal data; substituting the long pulse baseband signal data and the short pulse baseband signal data into a dual-channel parallel signal processing module to obtain a processed long pulse signal and a processed short pulse signal; and selectively replacing data of the processed long pulse signal based on the processed short pulse signal to obtain long and short pulse fusion data. Through system-level waveform design, information fusion and a fusion strategy of long and short pulse signals, the whole-course consistent high-precision distance measurement capability from near to far is ensured, and the capability of distinguishing and detecting a multi-target scene and a strong and weak target coexistence scene in a blind area is greatly improved.

Description

Technical Field

[0001] This invention relates to the field of radar signal processing technology, specifically providing a pulse compression blind zone recovery method based on long and short pulse fusion. Background Technology

[0002] In recent years, solid-state transmitter technology has developed rapidly and has been widely used in the field of weather radar. Compared with traditional vacuum tube transmitters that can generate hundreds of kilowatts, solid-state transmitters cannot produce high peak power, typically ranging from hundreds of watts to kilowatts. Therefore, to ensure sufficient detection capability against distant targets (such as precipitation systems 150 kilometers away), radar systems cannot simply rely on increasing peak power (which is difficult and costly in solid-state technology), but must instead increase the energy of the transmitted signal. According to radar equations, detection range is closely related to the total energy of the transmitted signal, and signal energy is the product of peak power and duration. Therefore, solid-state radars choose to transmit pulse signals with relatively long durations (e.g., tens or even hundreds of microseconds), compensating for insufficient peak power by accumulating time. This is the basis of the so-called "pulse compression" technique: transmitting a wide pulse to carry sufficient energy, and then "compressing" it into a narrow pulse at the receiving end through signal processing technology, thereby achieving high range resolution.

[0003] However, existing pulse compression radar technology mainly relies on two technical approaches to solve the blind zone problem, but each of them has obvious performance defects.

[0004] 1) Short pulses are emitted to fill blind spots, that is, full-range coverage is achieved by alternately emitting wide pulses (to ensure long-range detection energy) and short pulses (to cover short-range blind spots). However, this alternating emission mechanism inherently causes abrupt changes in system gain, leading to discontinuities in sensitivity.

[0005] 2) Progressive Pulse Compression (PPC) technology involves specially designed wide pulse waveforms that include redundancy for information recovery. While PPC avoids the sensitivity discontinuity problem caused by alternating transmissions, it sacrifices range resolution and increases range sidelobes in the blind zone. During pulse compression, to "recover" near-range target information obscured by the transmitted pulse from the data, the algorithm needs to perform special weighting or fitting on the signal. This process degrades range resolution in the blind zone, making it difficult to distinguish between two previously distinguishable near-range targets. More seriously, this processing significantly increases the range sidelobes of the compressed pulse. High sidelobes mean that the energy of a strong scattering point (such as a strong thunderstorm nucleus) leaks into adjacent range cells, potentially masking weak scattering points or small targets nearby (such as a weak precipitation area), or misjudging them as a false echo that does not actually exist. This severely affects the radar's ability to distinguish multiple targets and the accuracy of quantitative measurements in the blind zone.

[0006] Accordingly, there is a need in the field for a new pulse compression blind zone recovery scheme based on long and short pulse fusion to solve the above problems. Summary of the Invention

[0007] To overcome the above-mentioned defects, this invention is proposed to provide a pulse compression blind zone recovery method based on long and short pulse fusion, which solves or at least partially solves the technical problems of discontinuous sensitivity or low resolution of multiple targets and poor quantitative measurement accuracy in existing pulse compression radars.

[0008] In a first aspect, the present invention provides a pulse compression dead zone recovery method based on long-short pulse fusion, the method comprising the following steps: Long pulses and short pulses are transmitted using time-division multiplexing, and the echo signals of the long pulses and short pulses are acquired. The echo signals of long pulses and short pulses are digitally converted to obtain long pulse baseband signal data and short pulse baseband signal data; Substitute the long pulse baseband signal data and the short pulse baseband signal data into the dual-channel parallel signal processing module to obtain the processed long pulse signal and short pulse signal. Based on the processed short pulse signal, the data of the processed long pulse signal is selectively replaced to obtain long and short pulse fused data.

[0009] In one technical solution of the pulse compression dead zone recovery method based on long and short pulse fusion described above, the step of transmitting long and short pulses via time-division multiplexing includes: Construct a long-short pulse coordinated transmission architecture; Based on a long and short pulse coordinated transmission architecture, long pulses and short pulses are transmitted through time-division multiplexing.

[0010] In one technical solution of the pulse compression blind zone recovery method based on long and short pulse fusion described above, the construction of the long and short pulse cooperative transmission architecture includes: Long pulses employ frequency-modulated pulses with a large time-width-bandwidth product; Short pulses use simple pulses with narrow pulse widths; Furthermore, the long pulse is emitted before the short pulse.

[0011] In one technical solution of the pulse compression blind zone recovery method based on the fusion of long and short pulses mentioned above, In one technical solution of the pulse compression dead zone recovery method based on long and short pulse fusion, the digital conversion of the echo signals of long and short pulses to obtain long pulse baseband signal data and short pulse baseband signal data includes: The echo signals of long pulses and short pulses are subjected to quadrature digital downconversion to obtain baseband-preserved signals, which include the original amplitude and phase information of the echo signals. The baseband signal is digitally acquired with high dynamic range to obtain digitized long-pulse baseband signal data and short-pulse baseband signal data.

[0012] In one technical solution of the pulse compression dead zone recovery method based on long and short pulse fusion described above, the step of substituting the long pulse baseband signal data and the short pulse baseband signal data into a dual-channel parallel signal processing module to obtain the processed long pulse signal and short pulse signal includes: The long pulse baseband signal data is sent into the long pulse processing channel, and the long pulse baseband signal data is processed to obtain the processed long pulse signal. and, The short pulse baseband signal data is sent into the short pulse processing channel, and the short pulse baseband signal data is processed to obtain the processed short pulse signal. Furthermore, the signal processing for both channels is performed in parallel.

[0013] In one technical solution of the pulse compression dead zone recovery method based on long and short pulse fusion described above, the step of signal processing the short pulse baseband signal data to obtain the processed short pulse signal includes: Matched filtering is performed on the short pulse baseband signal to obtain a short pulse signal with low range sidelobes.

[0014] In one technical solution of the pulse compression dead zone recovery method based on long and short pulse fusion described above, the step of signal processing the long pulse baseband signal data to obtain the processed long pulse signal includes: Perform a progressive pulse compression process on long pulse baseband signals.

[0015] In one technical solution of the pulse compression blind zone recovery method based on long and short pulse fusion described above, the progressive pulse compression process includes: Windowing and zeroing processing is performed on the data of the long pulse baseband signal that is contaminated due to transmission blockage to obtain the zeroed-out blind zone signal; The tail signal of the long pulse baseband signal is determined, and the tail signal of the long pulse baseband signal is pulse compressed to obtain the preliminary estimated blind zone target corresponding to the zeroed blind zone signal. Based on the window function and the target distance, a scaling factor is determined, and based on the scaling factor, the true reflectivity intensity of the recovered target is obtained; Based on the scaling factor and the preliminary estimate of the blind zone target corresponding to the zeroed-out blind zone signal, the processed long pulse signal is obtained.

[0016] In one technical solution of the pulse compression blind zone recovery method based on long and short pulse fusion described above, the step of selectively replacing the data of the processed long pulse signal with the processed short pulse signal to obtain the long and short pulse fused data includes: A decision threshold is set based on the signal-to-noise ratio of the short pulse signal; Based on the decision threshold, short pulse signals are filtered to obtain the reliable region of short pulse data; Within the reliable region of short pulse data, short pulse data is replaced with long pulse data to obtain fused long and short pulse data.

[0017] In one technical solution of the pulse compression blind zone recovery method based on long and short pulse fusion described above, the step of filtering short pulse signals based on a decision threshold to obtain a reliable region for short pulse data includes: In the short pulse signal, all distance ranges where the signal-to-noise ratio exceeds the decision threshold are determined as retained ranges, and other non-retained ranges are eliminated to obtain the reliable area of ​​short pulse data.

[0018] The above-described technical solutions of the present invention have at least one or more of the following beneficial effects: This invention fundamentally circumvents the inherent algorithmic defects of PPC technology through system-level waveform design and information fusion, achieving a significant performance improvement. This method completely solves two key problems of PPC: range resolution degradation and range sidelobe elevation within the blind zone. Due to the extremely narrow width of the short pulse, after conventional pulse compression, it naturally possesses high range resolution and low range sidelobe characteristics within its covered near-range area. Moreover, this method, through a fusion strategy, directly uses the "clean" data of the short pulse in this area, thus completely bypassing the complex weighted calculation process necessary for PPC technology to recover the blind zone signal, which leads to signal quality degradation. This not only ensures consistent high-precision ranging capability from near to far but also effectively prevents strong scattering targets from overwhelming nearby weak targets due to high sidelobes, greatly improving the ability to distinguish and detect multiple targets and scenarios where strong and weak targets coexist within the blind zone. Attached Figure Description

[0019] The disclosure of this invention will become more readily understood with reference to the accompanying drawings. It will be readily understood by those skilled in the art that these drawings are for illustrative purposes only and are not intended to limit the scope of protection of this invention. Furthermore, similar numbers in the drawings are used to denote similar components, wherein: Figure 1 This is a schematic flowchart of the main steps of a pulse compression blind zone recovery method based on long and short pulse fusion according to an embodiment of the present invention; Figure 2 This is a flowchart illustrating a pulse compression blind zone recovery method based on long and short pulse fusion according to an embodiment of the present invention. Detailed Implementation

[0020] Some embodiments of the present invention will now be described with reference to the accompanying drawings. Those skilled in the art should understand that these embodiments are merely illustrative of the technical principles of the present invention and are not intended to limit the scope of protection of the present invention.

[0021] In the description of this invention, "module" and "processor" can include hardware, software, or a combination of both. A module can include hardware circuitry, various suitable sensors, communication ports, memory, and may also include software components, such as program code, or a combination of software and hardware. A processor can be a central processing unit, microprocessor, image processor, digital signal processor, or any other suitable processor. The processor has data and / or signal processing capabilities. The processor can be implemented in software, in hardware, or a combination of both. Non-transitory computer-readable storage media includes any suitable medium capable of storing program code, such as magnetic disks, hard disks, optical disks, flash memory, read-only memory, random access memory, etc. The term "A and / or B" means all possible combinations of A and B, such as only A, only B, or A and B. The terms "at least one A or B" or "at least one of A and B" have a similar meaning to "A and / or B" and can include only A, only B, or A and B. The singular terms "a" or "this" can also include plural forms.

[0022] See appendix Figure 1 , Figure 1 This is a schematic flowchart illustrating the main steps of a pulse compression blind zone recovery method based on long-short pulse fusion according to an embodiment of the present invention. Figures 1 to 2 As shown, the pulse compression blind zone recovery method based on long and short pulse fusion in this embodiment of the invention mainly includes the following steps S101-S104.

[0023] Step S101: Transmit long pulses and short pulses using time-division multiplexing, and acquire the echo signals of the long pulses and short pulses; Specifically, the transmission of long pulses and short pulses via time-division multiplexing includes: Construct a long-short pulse coordinated transmission architecture; Based on a long and short pulse coordinated transmission architecture, long pulses and short pulses are transmitted through time-division multiplexing.

[0024] Specifically, the construction of the long-short pulse coordinated transmission architecture includes: Long pulses employ frequency-modulated pulses with a large time-width-bandwidth product; Short pulses use simple pulses with narrow pulse widths; Furthermore, the long pulse is emitted before the short pulse.

[0025] In the above embodiment, a long pulse, i.e., a frequency-modulated pulse with a large time-width-bandwidth product (70 μs / 1 MHz), is transmitted. This long pulse undertakes the main detection task, and its high energy ensures high sensitivity detection of weak targets at a distance (such as weak precipitation echoes). Then, a short pulse, i.e., a simple pulse with a narrow pulse width (1 μs / 10 MHz), is transmitted. The core task of this short pulse is to cover the near-range blind zone of the long pulse with high resolution. In this embodiment, the transmission interval is 10 μs, the sampling rate is 20 MHz, and the quantization bit is 14 bits. Although the energy of the short pulse is low, the signal-to-noise ratio is sufficient to detect the target within the effective near-range coverage of the short pulse. This achieves the goal of ensuring long-range sensitivity with the long pulse and covering the near-range blind zone with the short pulse. Time-division multiplexing transmission is used to avoid interference. Furthermore, through the coordinated transmission of long and short pulses, full-range detection is achieved.

[0026] Specifically, acquiring the echo signals of long pulses and short pulses includes: The radar receiver synchronously receives the echo signals corresponding to the long and short pulses in the preset time slots corresponding to the long and short pulses, respectively.

[0027] Specifically, the radar receiver synchronously receives the echo signals corresponding to the long and short pulses respectively within preset time slots corresponding to the long and short pulses, including: A high-precision synchronous clock source (rubidium atomic clock in this case) is used to control the receiving window to ensure that the echo signals of long pulses and short pulses are accurately captured in the corresponding time slots; The receiver front end is equipped with a low-temperature drift bandpass filter (where the center frequency is matched with the transmitted pulse and the bandwidth is 1.5 times the bandwidth of the transmitted pulse) to suppress out-of-band noise and prevent mixing distortion.

[0028] Step S102: Digitize the echo signals of long pulses and short pulses to obtain long pulse baseband signal data and short pulse baseband signal data; Specifically, the digital conversion of the echo signals of long pulses and short pulses to obtain long pulse baseband signal data and short pulse baseband signal data includes: The echo signals of long pulses and short pulses are subjected to quadrature digital downconversion to obtain baseband-preserved signals, which include the original amplitude and phase information of the echo signals. The baseband signal is digitally acquired with high dynamic range to obtain digitized long-pulse baseband signal data and short-pulse baseband signal data.

[0029] Specifically, the orthogonal digital down-conversion of the echo signals of long pulses and short pulses to obtain the baseband-preserving signal includes: The baseband signal is retained by using the local oscillator signal, which is of the same origin as the transmit carrier frequency, for quadrature downconversion through both I and Q channels. The local oscillator signal is generated by a phase-locked loop (PLL) and has a phase noise better than -100dBc / Hz@10kHz. Anti-aliasing filtering is achieved through a cascaded half-band filter structure; The first stage involves using a CIC filter to achieve a wide range of downsampling. Second stage: Precise bandwidth limiting is achieved through FIR filters, where the passband ripple is <0.1dB and the stopband attenuation is >80dB; The sampling rate for long pulse baseband signals is set to 2.5 times the bandwidth, and the sampling rate for short pulses is set to 4 times the bandwidth, thus balancing the Nyquist criterion and dynamic range requirements.

[0030] Specifically, the high dynamic range digital acquisition of the retained baseband signal to obtain digitized long-pulse baseband signal data and short-pulse baseband signal data includes: In this embodiment, a 14-bit or higher analog-to-digital converter is selected, such as the AD9680, with a signal-to-noise ratio ≥70dB and a spurious-free dynamic range ≥85dBc, to ensure that the quantization noise of weak echoes (such as long-distance precipitation particles) is below the signal-to-noise ratio threshold. Automatic gain control is achieved by configuring a programmable gain amplifier, wherein the gain range of the long pulse channel is 0-40dB and the gain range of the short pulse channel is 0-30dB, and the gain is dynamically adjusted through a peak detection algorithm; DC offset calibration (i.e., error <0.5LSB), IQ imbalance correction (i.e., amplitude imbalance <0.2dB, phase imbalance <0.5°), and digital filtering (matched filter preprocessing) are performed in a programmable gate array to achieve digital front-end processing.

[0031] Step S103: Substitute the long pulse baseband signal data and the short pulse baseband signal data into the dual-channel parallel signal processing module to obtain the processed long pulse signal and short pulse signal; Specifically, the step of substituting the long pulse baseband signal data and the short pulse baseband signal data into the dual-channel parallel signal processing module to obtain the processed long pulse signal and short pulse signal includes: The long pulse baseband signal data is sent into the long pulse processing channel, and the long pulse baseband signal data is processed to obtain the processed long pulse signal. and, The short pulse baseband signal data is sent into the short pulse processing channel, and the short pulse baseband signal data is processed to obtain the processed short pulse signal. Furthermore, the signal processing for both channels is performed in parallel.

[0032] Specifically, the signal processing of the short pulse baseband signal data to obtain the processed short pulse signal includes: Matched filtering is performed on the short pulse baseband signal to obtain a short pulse signal with low range sidelobes.

[0033] Specifically, the matched filtering process is a conventional matched filtering process, which uses a complex conjugate matched filter to compress the signal. Because the short pulse itself has a very narrow width, the compressed output naturally has low range sidelobes. Therefore, the processed data yields a set of high range-resolution data that is largely unaffected by range sidelobes. Furthermore, the parameters are configured as a duration of microseconds, a signal-to-noise ratio threshold of 10~15dB, a sampling rate set to 4 times the bandwidth, and the matched filtering formula is: In the formula, Represents a compressed signal. Represents the received signal. Represents a matched filter. Represents the complex conjugate operator. Corresponding to the sample index within the distance, This represents a delayed variable.

[0034] Specifically, the signal processing of the long pulse baseband signal data to obtain the processed long pulse signal includes: Perform a progressive pulse compression process on long pulse baseband signals.

[0035] Specifically, the progressive pulse compression process includes: The data of the long pulse baseband signal that is contaminated by transmission blocking (i.e., the blind zone) is windowed and zeroed to obtain the zeroed blind zone signal, so as to realize the elimination of transmission blocking contamination by windowing the blind zone data; The tail signal of the long pulse baseband signal is determined, and the tail signal of the long pulse baseband signal is pulse compressed to obtain the preliminary estimated blind zone target corresponding to the zeroed blind zone signal. Based on the window function and the target distance, a scaling factor is determined, and based on the scaling factor, the true reflectivity intensity of the recovered target is obtained; Based on the scaling factor and the preliminary estimation of the blind zone target corresponding to the zeroed-out blind zone signal, the processed long pulse signal is obtained to achieve calibration compensation of the long pulse baseband signal. Furthermore, the parameters are configured with a time width of tens to hundreds of microseconds and a sampling rate set to 2.5 times the bandwidth.

[0036] Specifically, the windowing and zeroing process is performed using the following formula: In the formula, This represents the received signal after windowing, i.e., the original signal. With window function The product of A representative window function is used to suppress sidelobes or control the signal range. This represents the original signal, i.e., the long pulse baseband signal; Pulse compression is performed using the following formula: In the formula, The tail signal representing the long pulse baseband signal. This represents the received signal after windowing. Represents the complex conjugate of the matched filter. Represents the distance domain sample index. Represents a delayed variable; The scaling factor is obtained using the following formula: In the formula, This represents the scaling factor used for correction. Represents the filter coefficients, i.e., the matched filter at the index. The value at index represents the window function at index. The value at that point is used to suppress sidelobes or control the signal range. This represents the summation index variable, i.e., the entire length of the traversal filter or window function; The processed long pulse signal, i.e., the calibrated and compensated long pulse baseband signal, is obtained through the following formula: In the formula, This represents the long pulse baseband signal after calibration and compensation. This represents the scaling factor, used to compensate for the effects of the window function and signal attenuation. This represents the received signal after windowing, i.e., the original received signal. After window function The processed form, Represents the complex conjugate of a matched filter, used for signal compression and target detection. This represents the distance domain sample index, used to correspond to sampling points in different distance units. Represents a time / delay variable, used to describe the amount of delay of a signal in the time or distance domain.

[0037] Specifically, by performing a progressive pulse compression process on the long pulse baseband signal, complete range information is obtained after processing. This includes blind zone data recovered by PPC technology and normal mid-to-long range data. However, the range resolution of the blind zone data may be degraded due to PPC processing, and there may be a high range sidelobe.

[0038] Step S104: Based on the processed short pulse signal, selectively replace the data of the processed long pulse signal to obtain long and short pulse fused data.

[0039] Specifically, the step of selectively replacing the processed long pulse signal with the processed short pulse signal to obtain long-short pulse fused data includes: A decision threshold is set based on the signal-to-noise ratio of the short pulse signal; Based on the decision threshold, short pulse signals are filtered to obtain the reliable region of short pulse data; Within the reliable region of short pulse data, short pulse data is replaced with long pulse data to obtain fused long and short pulse data.

[0040] Specifically, the step of filtering short pulse signals based on a decision threshold to obtain a reliable region for short pulse data includes: In the short pulse signal, all distance ranges where the signal-to-noise ratio exceeds the decision threshold are determined as retained ranges, and other non-retained ranges are eliminated to obtain the reliable area of ​​short pulse data.

[0041] Specifically, setting the decision threshold based on the signal-to-noise ratio of the short pulse signal includes: Based on the signal-to-noise ratio level of the processed short pulse signal, a decision threshold is set. Specifically, the decision threshold can be set by those skilled in the art according to actual usage requirements, as long as it can be used to determine whether the short pulse data is a reliable region. This will not be elaborated further here.

[0042] Specifically, the steps for filtering short pulse signals based on the decision threshold to obtain the reliable region of short pulse data are as follows: The distance range where the signal-to-noise ratio exceeds the threshold is defined as the "reliable area for short pulse data" and included in the "replacement area". Outside this area, the area with a low signal-to-noise ratio due to the low transmission energy of the short pulse will still use the data generated by the long pulse signal after PPC processing.

[0043] Specifically, the steps for replacing long pulse data with short pulse data within the reliable region of short pulse data to obtain fused long and short pulse data are as follows: Within the "replacement region," the high-resolution, low-sidelobe data obtained from the short-pulse channel is directly used to replace the corresponding data from the long-pulse channel. This is the core operation for eliminating blind spots and avoiding the influence of range sidelobes. The data generated after replacement is the data obtained by fusing long and short pulses.

[0044] In the above embodiments, by using dual-channel parallel signal processing and data fusion, short pulses can cover the blind zone of long pulses, achieving blind zone-free detection at close range. Data fusion avoids the range resolution degradation and sidelobe rise caused by PPC, and suppresses the risk of strong target sidelobes masking weak targets, thereby improving the multi-target detection accuracy in the blind zone and thus improving the multi-target resolution capability.

[0045] Based on steps S101-S104 above, this invention fundamentally avoids the inherent defects of PPC technology at the algorithm level through system-level waveform design and information fusion, achieving a significant performance improvement. This method completely solves the two key problems of PPC: range resolution degradation and range sidelobe elevation in the blind zone. Due to the extremely narrow width of the short pulse itself, after conventional pulse compression, it naturally possesses high range resolution and low range sidelobe characteristics in the near-range area it covers. Moreover, this method, through a fusion strategy, directly uses the "clean" data of the short pulse in this area, thus completely bypassing the complex weighted calculation process necessary for PPC technology to recover the blind zone signal, which leads to signal quality degradation. This not only ensures consistent high-precision ranging capability from near to far, but also effectively prevents strong scattering targets from overwhelming nearby weak targets due to high sidelobes, greatly improving the ability to distinguish and detect multiple targets and scenarios where strong and weak targets coexist in the blind zone. It avoids the technical problems of discontinuous sensitivity or low resolution of multiple targets and poor quantitative measurement accuracy in existing pulse compression radar technologies.

[0046] It should be noted that although the steps in the above embodiments are described in a specific order, those skilled in the art will understand that in order to achieve the effects of the present invention, different steps do not necessarily have to be executed in such an order. They can be executed simultaneously (in parallel) or in other orders, and these variations are all within the scope of protection of the present invention.

[0047] Those skilled in the art will understand that all or part of the processes in the method of the above embodiment of the present invention can also be implemented by a computer program instructing related hardware. The computer program can be stored in a computer-readable storage medium, and when executed by a processor, it can implement the steps of the various method embodiments described above. The computer program includes computer program code, which can be in the form of source code, object code, executable file, or some intermediate form. The computer-readable storage medium can include any entity or device capable of carrying the computer program code, a medium, a USB flash drive, a portable hard drive, a magnetic disk, an optical disk, a computer memory, a read-only memory, a random access memory, an electrical carrier signal, a telecommunication signal, and a software distribution medium, etc. It should be noted that the content included in the computer-readable storage medium can be appropriately added or removed according to the requirements of legislation and patent practice in the jurisdiction. For example, in some jurisdictions, according to legislation and patent practice, the computer-readable storage medium does not include electrical carrier signals and telecommunication signals.

[0048] Furthermore, the present invention also provides a control device. In one embodiment of the control device according to the present invention, the control device includes a processor and a storage device. The storage device can be configured to store a program for executing the pulse compression blind zone recovery method based on long-short pulse fusion of the above-described method embodiments. The processor can be configured to execute the program in the storage device, which includes, but is not limited to, a program for executing the pulse compression blind zone recovery method based on long-short pulse fusion of the above-described method embodiments. For ease of explanation, only the parts related to the embodiments of the present invention are shown; for specific technical details not disclosed, please refer to the method section of the embodiments of the present invention. This control device can be a control device device formed by various electronic devices.

[0049] Furthermore, the present invention also provides a computer-readable storage medium. In one embodiment of the computer-readable storage medium according to the present invention, the computer-readable storage medium can be configured to store a program for performing the pulse compression blind zone recovery method based on long-short pulse fusion of the above-described method embodiments. This program can be loaded and run by a processor to implement the above-described pulse compression blind zone recovery method based on long-short pulse fusion. For ease of explanation, only the parts related to the embodiments of the present invention are shown; for specific technical details not disclosed, please refer to the method section of the embodiments of the present invention. The computer-readable storage medium can be a storage device device comprising various electronic devices. Optionally, in the embodiments of the present invention, the computer-readable storage medium is a non-transitory computer-readable storage medium.

[0050] Furthermore, it should be understood that since the various modules are only provided to illustrate the functional units of the device of the present invention, the physical devices corresponding to these modules may be the processor itself, or a part of the processor's software, hardware, or a combination of software and hardware. Therefore, the number of modules shown in the figures is merely illustrative.

[0051] Those skilled in the art will understand that the various modules in the device can be adaptively split or combined. Such splitting or combining of specific modules will not cause the technical solution to deviate from the principles of the present invention; therefore, the technical solutions after splitting or combining will fall within the protection scope of the present invention.

[0052] The technical solution of the present invention has been described above with reference to the preferred embodiments shown in the accompanying drawings. However, it will be readily understood by those skilled in the art that the scope of protection of the present invention is obviously not limited to these specific embodiments. Without departing from the principles of the present invention, those skilled in the art can make equivalent changes or substitutions to the relevant technical features, and the technical solutions after such changes or substitutions will all fall within the scope of protection of the present invention.

Claims

1. A pulse compression blind zone recovery method based on long and short pulse fusion, characterized in that, The method includes the following steps: Long pulses and short pulses are transmitted using time-division multiplexing, and the echo signals of the long pulses and short pulses are acquired. The echo signals of long pulses and short pulses are digitally converted to obtain long pulse baseband signal data and short pulse baseband signal data; Substitute the long pulse baseband signal data and the short pulse baseband signal data into the dual-channel parallel signal processing module to obtain the processed long pulse signal and short pulse signal. Based on the processed short pulse signal, the data of the processed long pulse signal is selectively replaced to obtain long and short pulse fused data.

2. The pulse compression blind zone recovery method based on long and short pulse fusion according to claim 1, characterized in that, The transmission of long and short pulses via time-division multiplexing includes: Construct a long-short pulse coordinated transmission architecture; Based on a long and short pulse coordinated transmission architecture, long pulses and short pulses are transmitted through time-division multiplexing.

3. The pulse compression blind zone recovery method based on long and short pulse fusion according to claim 2, characterized in that, The construction of the long-short pulse coordinated transmission architecture includes: Long pulses employ frequency-modulated pulses with a large time-width-bandwidth product; Short pulses use simple pulses with narrow pulse widths; Furthermore, the long pulse is emitted before the short pulse.

4. The pulse compression blind zone recovery method based on long and short pulse fusion according to claim 1, characterized in that, The digital conversion of the echo signals of long pulses and short pulses to obtain long pulse baseband signal data and short pulse baseband signal data includes: The echo signals of long pulses and short pulses are subjected to quadrature digital downconversion to obtain baseband-preserved signals, which include the original amplitude and phase information of the echo signals. The baseband signal is digitally acquired with high dynamic range to obtain digitized long-pulse baseband signal data and short-pulse baseband signal data.

5. The pulse compression blind zone recovery method based on long and short pulse fusion according to claim 4, characterized in that, The step of substituting long-pulse baseband signal data and short-pulse baseband signal data into the dual-channel parallel signal processing module to obtain processed long-pulse signals and short-pulse signals includes: The long pulse baseband signal data is sent into the long pulse processing channel, and the long pulse baseband signal data is processed to obtain the processed long pulse signal. and, The short pulse baseband signal data is sent into the short pulse processing channel, and the short pulse baseband signal data is processed to obtain the processed short pulse signal. Furthermore, the signal processing for both channels is performed in parallel.

6. The pulse compression blind zone recovery method based on long and short pulse fusion according to claim 5, characterized in that, The signal processing of the short pulse baseband signal data to obtain the processed short pulse signal includes: Matched filtering is performed on the short pulse baseband signal to obtain a short pulse signal with low range sidelobes.

7. The pulse compression blind zone recovery method based on long and short pulse fusion according to claim 5, characterized in that, The signal processing of the long pulse baseband signal data to obtain the processed long pulse signal includes: Perform a progressive pulse compression process on long pulse baseband signals.

8. The pulse compression blind zone recovery method based on long and short pulse fusion according to claim 7, characterized in that, The progressive pulse compression process includes: Windowing and zeroing processing is performed on the data of the long pulse baseband signal that is contaminated due to transmission blockage to obtain the zeroed-out blind zone signal; The tail signal of the long pulse baseband signal is determined, and the tail signal of the long pulse baseband signal is pulse compressed to obtain the preliminary estimated blind zone target corresponding to the zeroed blind zone signal. Based on the window function and the target distance, a scaling factor is determined, and based on the scaling factor, the true reflectivity intensity of the recovered target is obtained; Based on the scaling factor and the preliminary estimate of the blind zone target corresponding to the zeroed-out blind zone signal, the processed long pulse signal is obtained.

9. The pulse compression blind zone recovery method based on long and short pulse fusion according to claim 8, characterized in that, The process of selectively replacing the processed long pulse signal with the processed short pulse signal to obtain long-short pulse fused data includes: A decision threshold is set based on the signal-to-noise ratio of the short pulse signal; Based on the decision threshold, short pulse signals are filtered to obtain the reliable region of short pulse data; Within the reliable region of short pulse data, short pulse data is replaced with long pulse data to obtain fused long and short pulse data.

10. The pulse compression blind zone recovery method based on long and short pulse fusion according to claim 9, characterized in that, The method of filtering short pulse signals based on a decision threshold to obtain a reliable region for short pulse data includes: In the short pulse signal, all distance ranges where the signal-to-noise ratio exceeds the decision threshold are determined as retained ranges, and other non-retained ranges are eliminated to obtain the reliable area of ​​short pulse data.

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