A method and device for fine clutter suppression by airborne radar in sections and segments

Abstract

The invention discloses a method and device for fine clutter suppression of airborne radar by partitioning and segmenting, comprising: step 1: simulating and generating echo signals of each distance unit of the airborne radar; step 2: performing main clutter tracking processing on the echo signals generated in step 1, and moving the main clutter to zero frequency; step 3: performing fast Fourier transform processing on the pulse data of the echo signals in step 2, and transforming them into the Doppler domain; step 4: performing partition processing on the data in the Doppler domain in step 3; step 5: uniformly segmenting the samples in the sidelobe stable clutter area of ​​step 4 in the distance dimension; step 6: eliminating the singular samples in each segment in step 5 by using the generalized inner product method, and performing two-dimensional space-time adaptive processing on the remaining data; step 7: segmenting the samples in the sidelobe non-stationary clutter area of ​​step 4, and performing three-dimensional space-time adaptive processing; step 8: performing constant false alarm detection on the data in the clear area, the sidelobe stable clutter area and the sidelobe non-stationary clutter area.

Description

Technical Field

[0001] The present invention relates to the field of radar signal processing, and in particular to a method and device for fine clutter suppression by zone and segmentation of an airborne radar. Background Art

[0002] Airborne radars usually work in the downward-looking mode and face serious interference from ground and sea clutter. The clutter is powerful and widely distributed. The traditional one-dimensional processing method in the time-frequency domain cannot effectively suppress the clutter, resulting in long-distance targets or weak targets being submerged by clutter and unable to be detected. In practice, airborne radars usually use space-time adaptive processing (STAP) technology, which makes full use of array elements and pulse multi-channel echo data to achieve effective clutter suppression through space-time two-dimensional adaptive filtering.

[0003] Today's airborne phased array radars contain thousands of array elements and pulses, and usually use fixed processing methods to suppress clutter, without fine-tuning different clutter areas. Even with dimension reduction STAP processing, there is still a large amount of computation, and the carrier has strict requirements on the weight of the radar system, which greatly limits the radar's signal processing capabilities. Therefore, it is urgent to improve the clutter suppression performance while reducing the amount of computation.

[0004] like Figure 1 As shown in the figure, the clutter of airborne radar only occupies a certain bandwidth. Based on prior knowledge, the Doppler range occupied by clutter can be calculated, and the Doppler channel outside the clutter frequency band is called the clear area. Since there is no clutter in the clear area, there is no need for STAP processing, and the traditional pulse Doppler radar (pulse doppler, abbreviated as PD) can be used for processing. At the same time, when the flight direction of the airborne radar does not coincide with the axial direction of the array, that is, the array is not placed in a straight side view, the clutter will be non-stationary at this time, and the pitch-dimensional freedom degree needs to be introduced to achieve the suppression of short-range non-stationary clutter. However, for other stable clutter areas, clutter suppression can be achieved by using only the azimuth-Doppler two-dimensional STAP.

[0005] In view of this, there is an urgent need to invent a method for fine-grained clutter suppression for airborne radars in different zones and segments, adopt specific suppression methods for clutter in different areas, and solve the problem of large computational complexity of existing airborne radar clutter suppression. Summary of the invention

[0006] In order to achieve the above object, the present invention provides an airborne radar zone-section refined clutter suppression method.

[0007] The embodiment of the present invention adopts the following technical solution:

[0008] In a first aspect, the present invention provides a method for fine-grained clutter suppression of airborne radar by zone and segment, specifically:

[0009] Step 1: Generate the echo signal of each range unit of the airborne radar according to the system parameter simulation, wherein the echo signal includes clutter and noise;

[0010] Step 2: Perform main clutter tracking processing on the echo signal generated in step 1 to move the main clutter to zero frequency;

[0011] Step 3: Perform fast Fourier transform processing on the pulse data in the echo signal in step 2 and transform it into the Doppler domain;

[0012] Step 4: partition the data in the Doppler domain in step 3 into a main lobe clutter area, a side lobe stationary clutter area, a side lobe non-stationary clutter area and a clear area, and obtain data samples in each partition;

[0013] Step 5: Evenly segment the samples in the sidelobe stationary clutter region in step 4 in the range dimension so that the number of samples in each segment is twice the system degree of freedom;

[0014] Step 6: Use the generalized inner product method to remove the singular samples in each segment in step 5. The covariance matrix of the generalized inner product is estimated based on the adjacent segments, and the remaining samples are processed in two-dimensional space-time adaptive manner;

[0015] Step 7: Segment the samples in the sidelobe non-stationary clutter region of step 4, remove the singular samples using the generalized inner product method, and perform three-dimensional space-time adaptive processing;

[0016] Step 8: Perform constant false alarm detection on the data in the clear area, the sidelobe stable clutter area, and the sidelobe non-stationary clutter area;

[0017] Step 9: Do not perform target detection on the data in the main lobe clutter area.

[0018] Furthermore, the antenna of the airborne radar is set to a rectangular array, and the number of array elements in the elevation and azimuth dimensions are respectively and , the array element spacing is , the angle between the array and the aircraft's flight direction is , the radar operating wavelength is , assuming that the number of pulses in a CPI is , the pulse repetition frequency is , the aircraft height and speed are and , in step 1 The echo signal of a distance unit can be expressed as:

[0019] ; (1)

[0020] in, is the distance blur number, is the number of uniform clutter blocks contained in the distance unit, Clutter Block The clutter block amplitude at Clutter Block The corresponding pitch-azimuth-Doppler three-dimensional steering vector, is the noise echo, is the number of distance units.

[0021] Furthermore, in step 2, the following vector is used to track the main clutter of the echo signal:

[0022] ; (2)

[0023] in, is the Doppler frequency of the main clutter, and are the azimuth and elevation angles of the radar beam respectively;

[0024] The echo signal after main clutter tracking is:

[0025] ; (3)

[0026] Among them, the superscript represents the conjugate transpose operation, represents the dot product operation, For the Line Pulse data of the column.

[0027] Furthermore, in step 3, the pulse data of step 2 is subjected to fast Fourier transform processing using the following formula:

[0028] ; (4)

[0029] in, Represents a Fast Fourier Transform operation.

[0030] Furthermore, in step 4, the Doppler range of the main lobe clutter is calculated using the following formula:

[0031] ; (5)

[0032] in, is the lower limit of the main lobe clutter Doppler range, is the upper limit of the main lobe clutter Doppler range; is the radar beam main lobe width;

[0033] The Doppler range of the sidelobe clutter is:

[0034] ; (6)

[0035] in, is the lower limit of the sidelobe stationary clutter Doppler range, is the upper limit of the sidelobe stationary clutter Doppler range;

[0036] The starting distance unit of non-stationary clutter in the distance dimension is:

[0037] ; (7)

[0038] in, is the range resolution of the radar, Indicates rounding up operation;

[0039] According to the starting distance units of the Doppler range of the main lobe clutter, the Doppler range of the side lobe clutter and the Doppler range of the non-stationary clutter, the echo signal in step 3 is divided into a clear area, a side lobe stationary clutter area, a side lobe non-stationary clutter area and a main lobe clutter area.

[0040] Furthermore, in step 5, the number of segments is:

[0041] ; (8)

[0042] in, Represents the system degrees of freedom for two-dimensional space-time adaptive processing.

[0043] Furthermore, in step 6, the generalized inner product method statistics of the distance segment to be processed can be expressed as:

[0044] ; (9)

[0045] in, For the The Doppler domain data of the array element is For training samples The test covariance matrix of is estimated from the training samples of adjacent segments:

[0046] ; (10)

[0047] in, is the number of samples in each section; the generalized inner product statistics of the distance segments to be processed are arranged from large to small, and the first training samples, where It is an empirical value, usually 5%. The data after removing the singular samples are further processed in two-dimensional space-time adaptive manner.

[0048] Furthermore, in step 7, the number of segments is:

[0049] ; (11)

[0050] in, Represents the system degrees of freedom for three-dimensional space-time adaptive processing.

[0051] In a second aspect, the present invention provides an airborne radar zoned and segmented refined clutter suppression device, specifically comprising: at least one processor and a memory, the at least one processor and the memory are connected via a data bus, the memory stores instructions that can be executed by the at least one processor, and after the instructions are executed by the processor, they are used to complete the airborne radar zoned and segmented refined clutter suppression method in the first aspect.

[0052] In a third aspect, the present invention further provides a non-volatile computer storage medium, wherein the computer storage medium stores computer executable instructions, and the computer executable instructions are executed by one or more processors to complete the method described in the first aspect.

[0053] In a fourth aspect, a chip is provided, comprising: a processor and an interface, for calling and running a computer program stored in the memory from a memory, and executing the method as described in the first aspect.

[0054] In a fifth aspect, a computer program product comprising instructions is provided, which, when executed on a computer or a processor, causes the computer or the processor to execute the method as described in the first aspect.

[0055] Compared with the prior art, the beneficial effect of the present invention is that the clutter is divided into a main lobe clutter area, a side lobe stationary clutter area, a side lobe non-stationary clutter area and a clear area on the range-Doppler power spectrum, and then the segmented STAP method is used to suppress the clutter in the side lobe clutter area. The present invention performs adaptive segmentation and segmentation processing on the clutter of the airborne early warning radar, which can improve the clutter suppression performance while reducing the amount of calculation, thereby improving the moving target detection performance of the early warning aircraft radar in complex environments. BRIEF DESCRIPTION OF THE DRAWINGS

[0056] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the following briefly introduces the drawings required for use in the embodiments of the present invention. Obviously, the drawings described below are only some embodiments of the present invention, and for ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0057] Figure 1 A schematic diagram of clutter partitioning in the method provided by an embodiment of the present invention;

[0058] Figure 2A flow chart of a method for fine clutter suppression by zone and segmentation for airborne radar provided in an embodiment of the present invention;

[0059] Figure 3 A schematic diagram of the result of clutter partitioning of simulation data in the method provided in an embodiment of the present invention;

[0060] Figure 4 A schematic diagram of a logic unit when the method provided by an embodiment of the present invention is implemented by a programmable signal processing board;

[0061] Figure 5 A schematic structural diagram of an airborne radar clutter suppression device provided in an embodiment of the present invention. DETAILED DESCRIPTION

[0062] In order to make the purpose, technical solution and advantages of the present invention more clearly understood, the present invention is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not used to limit the present invention.

[0063] The present invention is an architecture of a specific functional system, so the specific embodiments mainly illustrate the functional logical relationship between the various structural modules, and do not limit the specific software and hardware implementation methods.

[0064] In addition, the technical features involved in the various embodiments of the present invention described below can be combined with each other as long as they do not conflict with each other. The present invention will be described in detail below with reference to the accompanying drawings and embodiments.

[0065] Embodiment 1:

[0066] For the entire range-Doppler spectrum, instead of using a single clutter suppression method, partitioned adaptive clutter suppression can be performed, which can not only achieve refined clutter processing, but also improve clutter suppression performance. At the same time, in order to further reduce the amount of calculation, it is necessary to use segmented processing for each area. In the same segment, only one estimation of the clutter covariance matrix is ​​required. Different segmentation methods also have a great impact on the clutter suppression performance, which seriously affects the target detection performance. Therefore, it is of great significance to study the partitioned space-time adaptive clutter suppression method for airborne radar.

[0067] In the scenario of this embodiment, the antenna of the airborne radar is set to be a rectangular array, and the number of array elements in the elevation and azimuth dimensions are respectively and , the array element spacing is , the angle between the array and the aircraft's flight direction is , the radar operating wavelength is , assuming that the number of pulses in a coherent processing interval (CPI) is , the pulse repetition frequency is , the aircraft height and speed are and .

[0068] like Figure 2 As shown, the specific steps of the airborne radar zone-segment refined clutter suppression method provided by the embodiment of the present invention are as follows:

[0069] Step 1: Generate the echo signal of each range unit of the airborne radar according to the system parameter simulation, where the echo signal includes clutter and noise.

[0070] In step 1, The echo signal of a distance unit can be expressed as:

[0071] ; (1)

[0072] in, is the distance blur number, is the number of uniform clutter blocks contained in the distance unit, Clutter Block The clutter block amplitude at Clutter Block The corresponding pitch-azimuth-Doppler three-dimensional steering vector, is the noise echo, is the number of distance units.

[0073] Step 2: Perform main clutter tracking processing on the echo signal generated in step 1 to move the main clutter to zero frequency.

[0074] The following vector is used to track the main clutter of the echo signal:

[0075] ; (2)

[0076] in, is the Doppler frequency of the main clutter, and are the azimuth and elevation angles of the radar beam respectively;

[0077] The echo signal after main clutter tracking is:

[0078] ; (3)

[0079] Among them, the superscript represents the conjugate transpose operation, represents the dot product operation, For the Line Pulse data of the column.

[0080] Step 3: Perform fast Fourier transform processing on the pulse data in the echo signal in step 2 and transform it into the Doppler domain.

[0081] The pulse data of step 2 is processed by Fast Fourier Transform (FFT) using the following formula:

[0082] ; (4)

[0083] in, Represents a Fast Fourier Transform operation.

[0084] Step 4: The data in the Doppler domain of step 3 is partitioned into a main lobe clutter area, a side lobe stationary clutter area, a side lobe non-stationary clutter area and a clear area, and data samples in each partition are obtained.

[0085] The Doppler range of the main lobe clutter is calculated using the following formula:

[0086] ; (5)

[0087] in, is the lower limit of the main lobe clutter Doppler range, is the upper limit of the main lobe clutter Doppler range; is the radar beam main lobe width, is the angle between the radar array and the radar's forward direction; is the radar forward speed, is the radar operating wavelength, is the pulse repetition frequency, Angle The Doppler frequency of the main lobe clutter at is the Doppler frequency of the main clutter, is the number of pulses in one coherent processing time;

[0088] The Doppler range of the sidelobe clutter is:

[0089] ; (6)

[0090] in, is the lower limit of the sidelobe stationary clutter Doppler range, is the upper limit of the sidelobe stationary clutter Doppler range; is the radar forward speed, is the radar operating wavelength, is the pulse repetition frequency, is the Doppler frequency of the sidelobe stationary clutter; is the Doppler frequency of the main clutter, is the number of pulses in one coherent processing time;

[0091] The starting distance unit of non-stationary clutter in the distance dimension is:

[0092] ; (7)

[0093] in, is the radar altitude, is the range resolution of the radar, Indicates rounding up operation;

[0094] After the above calculations, if Figure 3 As shown, the echo signal in step 3 can be divided into a clear area, a sidelobe stable clutter area, a sidelobe non-stationary clutter area and a main lobe clutter area according to the starting distance units of the Doppler range of the main lobe clutter, the Doppler range of the sidelobe clutter and the Doppler range of the non-stationary clutter.

[0095] Step 5: Evenly segment the samples in the sidelobe stationary clutter region of step 4 in the distance dimension so that the number of samples in each segment is twice the system degree of freedom.

[0096] The number of segments is:

[0097] ; (8)

[0098] in, is the starting distance unit of the sidelobe non-stationary clutter Doppler range, In actual implementation, since the total number of samples is not necessarily an integer multiple of the number of segments, the number of samples in each segment can be an integer closest to twice the system degree of freedom.

[0099] Step 6: Use the generalized inner product method to eliminate the singular samples in each segment in step 5. The covariance matrix of the generalized inner product is estimated based on the adjacent segments, and the remaining samples are subjected to two-dimensional space-time adaptive processing.

[0100] The data samples in the sidelobe stationary clutter area and the sidelobe non-stationary clutter area may contain some samples that are particularly large or small relative to other samples. These samples are called singular samples. The existence of singular data samples will increase the training time during data processing and may fail to converge, so they need to be eliminated.

[0101] The generalized inner product (GIP) statistic for the distance segment to be processed can be expressed as:

[0102] ; (9)

[0103] in, For the The Doppler domain data of the array element is For training samples The test covariance matrix of is estimated from the training samples of adjacent segments:

[0104] ; (10)

[0105] in, is the number of samples in each section; arrange the GIP statistics of the distance sections to be processed from large to small, and remove the first training samples, where It is an empirical value, usually 5%.

[0106] After completing the above processing, the data after removing the singular samples are further processed by 2DSTAP.

[0107] Step 7: Segment the samples in the sidelobe non-stationary clutter area of ​​step 4, use the generalized inner product method to eliminate singular samples, and perform three-dimensional space-time adaptive processing; when the number of segments is 1, the covariance matrix of the generalized inner product is estimated based on the current segment, and when the number of segments is greater than 1, the covariance matrix of the generalized inner product is estimated using adjacent segments.

[0108] The number of segments is:

[0109] ; (11)

[0110] in, is the number of distance units, is the starting distance unit of the sidelobe non-stationary clutter Doppler range, Represents the system degrees of freedom for three-dimensional space-time adaptive processing.

[0111] Step 8: Perform constant false alarm rate (CFAR) detection on the data in the clear area, sidelobe stationary clutter area, and sidelobe non-stationary clutter area to automatically adjust the detection threshold, maintain a stable false alarm rate, and maximize the target detection probability while keeping the false alarm probability unchanged.

[0112] Step 9: Do not perform target detection on the data in the main lobe clutter area.

[0113] After steps 1 to 9 provided in this embodiment, clutter suppression of radar echo signals can be completed quickly and accurately by partitioning and segmenting.

[0114] In actual implementation, the method provided in this embodiment can be implemented by programming on a general programmable signal processing board. Figure 4 As shown, the logic units corresponding to each function are as follows:

[0115] According to step 1, an echo data simulation unit is used to generate echo data.

[0116] According to step 2, the main clutter tracking processing unit is used to complete the main clutter tracking and move the main clutter to zero frequency.

[0117] According to step 3, the Doppler domain of the main clutter is obtained using the FFT processing unit.

[0118] According to step 4, the clutter partitioning is completed using the main lobe clutter Doppler range calculation unit, the side lobe clutter Doppler range calculation unit, the side lobe non-stationary clutter starting distance calculation unit, the range-Doppler two-dimensional partitioning unit, the clear area unit and the main lobe clutter area processing unit.

[0119] According to step 5, the sidelobe stable clutter area is segmented using the sidelobe stable clutter area segmentation unit.

[0120] According to step 7, the sidelobe non-stationary clutter area segmentation unit is used to segment the sidelobe non-stationary clutter area.

[0121] According to step 6 and step 7, the singular sample elimination unit of the generalized inner product method is used to complete the singular sample elimination.

[0122] According to step 6, the 2DSTAP processing unit is used to complete the clutter removal in the sidelobe stationary clutter area.

[0123] According to step 7, the 3DSTAP processing unit is used to complete the clutter removal in the sidelobe non-stationary clutter area.

[0124] According to step 8, the CFAR processing unit is used to complete the CFAR processing.

[0125] The method for fine clutter suppression of airborne radar by zoning and segmentation provided in this embodiment has the beneficial effects of: firstly, obtaining echo data of each range unit according to system parameters, and performing main clutter tracking and FFT processing; secondly, dividing the range-Doppler power spectrum into four regions according to the Doppler range of main lobe clutter and side lobe clutter, and the starting distance of non-stationary clutter; thirdly, determining the number of segments of each region in the range dimension according to the degree of freedom of dimension reduction STAP; finally, performing 2DSTAP processing on the side lobe stationary clutter region and performing 3DSTAP processing on the side lobe non-stationary clutter region in combination with the generalized inner product method.

[0126] Furthermore, the method provided in this embodiment performs adaptive zoning and segmentation processing on airborne early warning radar clutter, which can improve clutter suppression performance while reducing the amount of calculation, thereby improving the early warning aircraft radar moving target detection performance in complex environments.

[0127] Embodiment 2:

[0128] Based on the airborne radar clutter suppression method provided in the above embodiment 1, the present invention also provides an airborne radar clutter suppression device that can be used to implement the above method, such as Figure 5 FIG. 1 is a schematic diagram of the device architecture of an embodiment of the present invention. The airborne radar clutter suppression device of this embodiment includes one or more processors and a memory. Figure 5 A processor is taken as an example.

[0129] The processor and the memory may be connected via a bus or other means. Figure 5 The example of connecting through bus is taken in the following.

[0130] The memory, as a non-volatile computer-readable storage medium of the airborne radar clutter suppression method, can be used to store non-volatile software programs, non-volatile computer executable programs and modules, such as the airborne radar clutter suppression method in Example 1. The processor executes various functional applications and data processing of the airborne radar clutter suppression device by running the non-volatile software programs, instructions and modules stored in the memory, that is, the airborne radar clutter suppression method in Example 1 is implemented.

[0131] The memory may include a high-speed random access memory and may also include a non-volatile memory, such as at least one disk storage device, a flash memory device, or other non-volatile solid-state storage device. In some embodiments, the memory may optionally include a memory remotely arranged relative to the processor, and these remote memories may be connected to the processor via a network. Examples of the above-mentioned network include, but are not limited to, the Internet, an intranet, a local area network, a mobile communication network, and combinations thereof.

[0132] The program instructions / modules are stored in the memory, and when executed by one or more processors, the airborne radar clutter suppression method in the above embodiment 1 is executed, for example, the above described Figure 1 The steps shown.

[0133] An embodiment of the present invention further provides a non-volatile computer storage medium, wherein the computer storage medium stores computer executable instructions, and the computer executable instructions are executed by one or more processors, such as Figure 5 A processor in can enable the above one or more processors to execute the airborne radar clutter suppression method in embodiment 1, for example, to execute the above described Figure 1The steps shown can also be implemented Figure 4 The various modules and units described.

[0134] It is worth noting that the information interaction, execution process, etc. between the modules and units within the above-mentioned devices and systems are based on the same concept as the processing method embodiment of the present invention. The specific contents can be found in the description of the method embodiment of the present invention and will not be repeated here.

[0135] A person skilled in the art may understand that all or part of the steps in the various methods of the embodiments may be completed by instructing related hardware through a program, and the program may be stored in a computer-readable storage medium, and the storage medium may include: a read-only memory (ROM), a random access memory (RAM), a disk or an optical disk, etc.

[0136] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions and improvements made within the spirit and principles of the present invention should be included in the protection scope of the present invention.

Claims

1. A method for fine-grained clutter suppression of airborne radar by segmentation, characterized in that: The steps include: Step 1: Generate the echo signal of each range unit of the airborne radar according to the system parameter simulation, wherein the echo signal includes clutter and noise; Step 2: Perform main clutter tracking processing on the echo signal generated in step 1 to move the main clutter to zero frequency; Step 3: Perform fast Fourier transform processing on the pulse data in the echo signal in step 2 and transform it into the Doppler domain; Step 4: partition the data in the Doppler domain in step 3 into a main lobe clutter area, a side lobe stationary clutter area, a side lobe non-stationary clutter area and a clear area, and obtain data samples in each partition; Step 5: Evenly segment the samples in the sidelobe stationary clutter region in step 4 in the range dimension so that the number of samples in each segment is twice the system degree of freedom; Step 6: Use the generalized inner product method to remove the singular samples in each segment in step 5. The covariance matrix of the generalized inner product is estimated based on the adjacent segments, and the remaining samples are processed in two-dimensional space-time adaptive manner; Step 7: Segment the samples in the sidelobe non-stationary clutter region of step 4, remove the singular samples using the generalized inner product method, and perform three-dimensional space-time adaptive processing; Step 8: Perform constant false alarm detection on the data in the clear area, the sidelobe stable clutter area, and the sidelobe non-stationary clutter area; Step 9: Do not perform target detection on the data in the main lobe clutter area.

2. The method for airborne radar zone-by-zone segmentation refined clutter suppression according to claim 1, characterized in that: The antenna of the airborne radar is set to a rectangular array, and the number of array elements in the elevation and azimuth dimensions are respectively and , the array element spacing is , the angle between the array and the aircraft's flight direction is , the radar operating wavelength is , assuming that the number of pulses in a CPI is , the pulse repetition frequency is , the aircraft height and speed are and , in step 1 The echo signal of a distance unit can be expressed as: ；（1） in, is the distance blur number, is the number of uniform clutter blocks contained in the distance unit, Clutter Block The clutter block amplitude at Clutter Block The corresponding pitch-azimuth-Doppler three-dimensional steering vector, is the noise echo, is the number of distance units.

3. The method for airborne radar zone-by-zone segmentation refined clutter suppression according to claim 1, characterized in that: In step 2, the following vector is used to track the main clutter of the echo signal: ；（2） in, is the Doppler frequency of the main clutter, and are the azimuth and elevation angles of the radar beam respectively; The echo signal after main clutter tracking is: ；（3） Among them, the superscript represents the conjugate transpose operation, represents the dot product operation, For the Line Pulse data of the column.

4. The method for airborne radar zone-by-zone segmentation refined clutter suppression according to claim 1, characterized in that: In step 3, the pulse data of step 2 is subjected to fast Fourier transform processing using the following formula: ；（4） in, Represents a Fast Fourier Transform operation.

5. The method for airborne radar zone-by-zone segmentation refined clutter suppression according to claim 1, characterized in that: In step 4, the Doppler range of the main lobe clutter is calculated using the following formula: ；（5） in, is the lower limit of the main lobe clutter Doppler range, is the upper limit of the main lobe clutter Doppler range; is the radar beam main lobe width; The Doppler range of the sidelobe clutter is: ；（6） in, is the lower limit of the sidelobe stationary clutter Doppler range, is the upper limit of the sidelobe stationary clutter Doppler range; The starting distance unit of non-stationary clutter in the distance dimension is: ；（7） in, is the range resolution of the radar, Indicates rounding up operation; According to the starting distance units of the Doppler range of the main lobe clutter, the Doppler range of the side lobe clutter and the Doppler range of the non-stationary clutter, the echo signal in step 3 is divided into a clear area, a side lobe stationary clutter area, a side lobe non-stationary clutter area and a main lobe clutter area.

6. The method for airborne radar zone-by-zone segmentation refined clutter suppression according to claim 1, characterized in that: In step 5, the number of segments is: ；（8） in, Represents the system degrees of freedom for two-dimensional space-time adaptive processing.

7. The method for airborne radar zone-by-zone segmentation refined clutter suppression according to claim 1, characterized in that: In step 6, the generalized inner product method statistics of the distance segment to be processed can be expressed as: ； （9） in, For the The Doppler domain data of the array element is For training samples The test covariance matrix of is estimated from the training samples of adjacent segments: ；（10） in, is the number of samples in each section; the generalized inner product statistics of the distance segments to be processed are arranged from large to small, and the first training samples, where It is an empirical value, usually 5%. The data after removing the singular samples are further processed in two-dimensional space-time adaptive manner.

8. The method for airborne radar zone-by-zone segmentation refined clutter suppression according to claim 1, characterized in that: In step 7, the number of segments is: ；（11） in, Represents the system degrees of freedom for three-dimensional space-time adaptive processing.

9. An airborne radar zone-by-zone segmentation refined clutter suppression device, characterized in that: The method comprises at least one processor and a memory, wherein the at least one processor and the memory are connected via a data bus, and the memory stores instructions that can be executed by the at least one processor, and after being executed by the processor, the instructions are used to complete the airborne radar zone-section refined clutter suppression method according to any one of claims 1 to 8.

10. A non-volatile computer storage medium, characterized in that: The computer storage medium stores computer executable instructions, which are executed by one or more processors to implement the airborne radar zone-by-zone segmentation refined clutter suppression method as described in any one of claims 1 to 8.

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