Active and passive composite imaging method based on noise waves and radar system

Abstract

The invention discloses an active and passive composite imaging method based on noise waves and a radar system, relates to the technical field of radar systems and target detection, and solves the problem that active imaging and passive imaging cannot be simultaneously realized by using one set of system due to different transmitting and receiving systems of an active system and a passive system. The method comprises the following steps: designing noise wave modulation, obtaining noise wave modulation information, and obtaining original data of an observation scene; performing pixel division on the original data according to the pixel size, the sampling frequency and the scanning speed; obtaining a correlation value and a mean value of the corresponding pixels according to the original data and noise wave modulation information in the divided pixels; obtaining active information data and passive information data according to the correlation value, the mean value, the active information and the passive information; and according to the active information data and the passive information data, obtaining an active information image and a passive information image, and completing imaging. The method is suitable for typical target detection scenes of sea surface, air and land.

Description

Technical Field

[0001] The present invention relates to the field of radar systems and target detection technology, and in particular to an integrated active and passive radar imaging method and system. Background Art

[0002] Millimeter wave (MMW) technology has become an important tool due to its high frequency operation, broadband, and excellent performance in penetrating various materials such as fog, clothing and packaging, and is widely used in communications, medical diagnosis, security scanning, atmospheric science and astronomy. In particular, in imaging applications, millimeter wave technology excels in providing high-resolution images and penetrating surface layers, playing a key role in automotive radar and human security inspection.

[0003] Existing millimeter wave imaging technology is mainly divided into active imaging and passive imaging according to whether electromagnetic waves are emitted. Active imaging actively emits electromagnetic waves, has the advantages of high signal-to-noise ratio and high resolution, and is sensitive to the geometric size and reflectivity of the target; passive imaging detects the electromagnetic radiation of the target itself, is sensitive to the temperature and emissivity of the target, and has the advantages of high concealment, fast imaging, and high security; in terms of target detection, active and passive systems provide different but complementary information, and how to integrate active imaging and passive imaging to improve the detection capability of the target is of great significance.

[0004] However, existing technologies mainly focus on fusing active data and passive data in different frequency bands to improve prediction accuracy. Hardware-level fusion still faces challenges such as operational limitations, complex hardware structures, and difficulties in field of view alignment, which hinder complete hardware integration. How to combine active and passive systems is the main goal of existing research. The difficulty mainly stems from the different transmitting and receiving systems of active and passive systems. How to use a system to achieve active and passive imaging at the same time is one of the main problems currently faced. Summary of the invention

[0005] The present invention proposes an active-passive composite imaging method and a radar system based on noise waves, the purpose of which is to solve the problem that the active system and the passive system have different transmitting and receiving systems, resulting in the inability to use one system to simultaneously realize active imaging and passive imaging.

[0006] The present invention proposes an active-passive composite imaging method based on noise waves, the method comprising:

[0007] S1: According to the imaging radar system, design noise wave modulation, obtain noise wave modulation information, and obtain the original data of the observation scene;

[0008] S2: pixel division of raw data according to pixel size, sampling frequency and scanning speed;

[0009] S3: Obtain the correlation value and mean value of the corresponding pixel according to the original data and noise wave modulation information in the divided pixel;

[0010] S4: Obtain active information data and passive information data according to the correlation value, the mean value, the active information and the passive information;

[0011] S5: According to the active information data and the passive information data, an active information image and a passive information image are obtained to complete imaging.

[0012] Furthermore, a preferred solution is provided: the original data of the observed scene is the original data of the active and passive superposition of the observed scene.

[0013] Furthermore, a preferred solution is provided: S2 includes:

[0014] The original data is divided into several segments, each segment represents the original data of a pixel, specifically:

[0015] X n =[x (n-1)×N+1 ,x (n-1)×N+1 ,x (n-1)×N+1 ,……,x (n-1)×N+N ],

[0016] Where n is the pixel index, x i is the collected voltage value, i is the matrix element index, and N is the data length;

[0017] N is calculated by the following formula:

[0018]

[0019] Furthermore, a preferred solution is provided: S3 includes:

[0020] S31: Obtain the modulation information of the noise wave Y=[y 1 ,y 2 ,y 3 ,…],y i =0,1, the original data X in the divided pixel n ;

[0021] S32: Using formula Calculate the correlation value of the pixel.

[0022] Where i is the matrix element index, [*] T is the transpose of the matrix, Y i is a subset of the modulation information Y, denoted as Y i =[y i ,y i+1 ,y i+2 ,…,yi+N-1 ];

[0023] S33: Select the maximum value of the correlation value Cor n,max , and record the Y at this time i , denoted by Y n,k ;

[0024] S34: Using formula Calculate the mean of each pixel,

[0025] Among them, ‖*‖ is the L-1 norm operator.

[0026] Furthermore, a preferred solution is provided: S4 includes:

[0027] S41: Using formula Calculate active information data:

[0028] S42: Using formula Calculate passive information data,

[0029] Where L is Z′ n The length of Z′ n Obtained by the following formula:

[0030] Z′ n ={x|x∈Z n ,x∈Whisker},

[0031] in, Whisker means Z n A section of the box plot is [Q1-a·IQR,Q3+α·IQR], where Q1 is the first quartile and Q3 is the third quartile.

[0032] The present invention also proposes an active-passive composite imaging radar system based on noise waves, the radar system comprising:

[0033] Noise source, amplifier, modulator, transmitting antenna, focusing lens, receiving antenna, radiometer channel, data acquisition and processing device;

[0034] The noise source generates broadband noise, which is amplified to the rated power by the amplifier, modulated by the modulator, fed back to the transmitting antenna, and irradiated to the observation scene. The receiving antenna is arranged on the focal plane of the focusing lens, and the focusing lens focuses the millimeter waves from the observation scene on the receiving antenna, and generates the original data image of the observation scene through the radiometer channel; the data acquisition and processing device is arranged on the side of the receiving antenna away from the focusing lens, and uses the active and passive composite imaging method based on noise waves described in any one of the above-mentioned schemes to process the original data, and finally obtain active images and passive images.

[0035] Furthermore, a preferred solution is provided: the data acquisition and processing device includes: a data acquisition device, a data processor and a data display; the data acquisition device is used to acquire the original data image of the observation scene; the data processor processes the original data image acquired by the data acquisition device to obtain active images and passive images; the data display is used to display images.

[0036] The present invention also provides a computer device, including a memory and a processor, wherein the memory stores a computer program, and when the processor runs the computer program stored in the memory, the processor executes an active and passive composite imaging method based on noise waves described in any combination of the above-mentioned schemes.

[0037] The present invention also proposes a computer-readable storage medium, characterized in that the computer-readable storage medium is used to store a computer program, and the computer program executes the steps of an active and passive composite imaging method based on noise waves described in any combination of the above-mentioned schemes.

[0038] Compared with the prior art, the advantages of the present invention are:

[0039] The present invention proposes an active-passive composite imaging method based on noise waves, which has the characteristics of high signal-to-noise ratio and high resolution of the active system and fast scanning speed, high safety and temperature sensitivity of the passive system. Through one scan, active images and passive images are generated simultaneously, thereby improving the target detection capability.

[0040] By using the system of the present invention to obtain active information images and passive information images of the scene, more information about the scene is obtained, breaking through the limitation that some targets cannot be detected in the traditional single imaging system. The processing method is simple and effective, and has good robustness.

[0041] The method and system proposed in the present invention can use a set of systems to simultaneously realize active imaging and passive imaging, and can obtain both the scattering information and the radiation information of the target, thereby improving the target detection capability and image visual perception.

[0042] The active-passive composite imaging method and system described in the present invention are not limited to frequency band restrictions and can be used in the fields of microwave imaging, millimeter wave imaging, terahertz imaging, etc., and have a wide range of application scenarios.

[0043] The present invention is applicable to typical target detection scenarios on sea, air and land, such as aerial vehicle detection, sea surface ship detection and land tank detection. BRIEF DESCRIPTION OF THE DRAWINGS

[0044] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0045] Figure 1 is a flow chart of an integrated active and passive imaging method based on noise waves according to a specific embodiment of the present invention;

[0046] Figure 2 The structure diagram of the integrated active and passive radar system based on noise wave according to the specific implementation mode of the present invention, wherein: 1 is a noise source; 2 is an amplifier; 3 is a modulator; 4 is a transmitting antenna; 5 is a measured scene; 6 is a focusing lens; 7 is a receiving antenna; 8 is a radiometer channel; 9 is a data acquisition and processing device; 91 is a data collector; 92 is a data processor; 93 is a data display;

[0047] Figure 3 The original image described in the specific implementation mode of the present invention;

[0048] Figure 4 The active image described in the specific implementation mode of the present invention;

[0049] Figure 5 It is a passive image described in the specific implementation mode of the present invention. DETAILED DESCRIPTION

[0050] In the following description, specific details such as specific system structures and technologies are provided for the purpose of illustration rather than limitation, so as to provide a thorough understanding of the embodiments of the present application. However, it should be clear to those skilled in the art that the present application may also be implemented in other embodiments without these specific details. In other cases, detailed descriptions of well-known systems, devices, circuits, and methods are omitted to prevent unnecessary details from obstructing the description of the present application.

[0051] It should be understood that when used in this specification and the appended claims, the term "comprising" indicates the presence of described features, integers, steps, operations, elements and / or components, but does not exclude the presence or addition of one or more other features, integers, steps, operations, elements, components and / or groups thereof.

[0052] It should also be understood that the terms used in this application specification are only for the purpose of describing specific embodiments and are not intended to limit the present application. As used in this application specification and the appended claims, the singular forms "a", "an" and "the" are intended to include plural forms unless the context clearly indicates otherwise.

[0053] The following is a clear and complete description of the technical solutions in the embodiments of the present application in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0054] In the following description, many specific details are set forth to facilitate a full understanding of the present application, but the present application may also be implemented in other ways different from those described herein, and those skilled in the art may make similar generalizations without violating the connotation of the present application. Therefore, the present application is not limited to the specific implementation methods disclosed below.

[0055] Implementation method 1:

[0056] Reference Figure 1 This embodiment will be described.

[0057] This embodiment proposes an active-passive composite imaging method based on noise waves, the method comprising:

[0058] S1: According to the imaging radar system, design noise wave modulation, obtain noise wave modulation information, and obtain the original data of the observation scene;

[0059] S2: pixel division of raw data according to pixel size, sampling frequency and scanning speed;

[0060] S3: according to the mathematical relationship between the original data in the divided pixels and the noise wave modulation information, obtain the correlation value and the mean value of the corresponding pixel;

[0061] S4: Obtain active information data and passive information data according to the mathematical relationship between the correlation value, the mean value, the active information and the passive information;

[0062] S5: According to the active information data and the passive information data, an active information image and a passive information image are obtained to complete imaging.

[0063] Furthermore, in S1, according to the imaging radar system, the noise wave modulation is designed specifically as follows: according to the detection distance of the radar system, the integration time of the radar system receiver is designed, and then the modulation period and transmission power of the noise wave are adjusted, and the modulated noise wave is transmitted to the target scene. At the same time, the modulated waveform and the received waveform are collected to obtain the modulation information and the original data.

[0064] Furthermore, the original data of the observation scene described in this embodiment is the original data superimposed by the active and passive observation scenes. The original data is a one-dimensional matrix, and each value of the one-dimensional matrix represents the actual voltage value collected by the receiving end at a certain moment.

[0065] Furthermore, in S1 of this embodiment, after the original data of the observation scene is acquired, a filtering algorithm such as low-pass filtering or median filtering is used to denoise the original data.

[0066] Furthermore, S2 described in this embodiment includes:

[0067] The original data is divided into several segments, each segment represents the original data of a pixel, specifically:

[0068] X n =[x (n-1)×N+1 ,x (n-1)×N+1 ,x (n-1)×N+1 ,……,x (n-1)×N+N ],

[0069] Where n is the pixel index, x i is the collected voltage value, i is the matrix element index, and N is the data length;

[0070] N is calculated by the following formula:

[0071]

[0072] Substituting the original data, scanning speed, and sampling frequency into the formula for calculation, the original data of each pixel can be obtained.

[0073] Furthermore, S3 described in this embodiment includes:

[0074] S31: Obtain the modulation information of the noise wave Y=[y 1 ,y 2 ,y 3 ,…],y i =0,1, the original data X in the divided pixel n , where i is the matrix element index;

[0075] S32: Using formula Calculate the sliding correlation value of the pixel,

[0076] Where i is the matrix element index, [*] T is the transpose of the matrix, Y i is a subset of the modulation information Y, denoted as Y i =[y i ,y i+1 ,y i+2 ,…,yi+N-1 ];

[0077] S33: Select the maximum value of the correlation value Cor n,max , and record the Y at this time i , denoted by Y m,k ; The maximum value of the correlation value Cor n,max By formula Cor n,max =max{Cor n (i)}, where max{*} means taking the maximum value, Y n,k = {Y i |Cor n (i) = Cor n,max};

[0078] S34: Using formula Calculate the mean of each pixel,

[0079] Among them, ‖*‖ is the L-1 norm operator.

[0080] Furthermore, S4 described in this embodiment includes:

[0081] S41: Using formula Calculate active information data:

[0082] S42: Using formula Calculate passive information data,

[0083] Where L is Z′ n The length of Z′ n Obtained by the following formula:

[0084] Z′ n ={x|x∈Z n ,x∈Whisker},

[0085] in, Whisker means Z n A section of the box plot is [Q1-α·IQR,Q3+α·IQR], where Q1 is the first quartile and Q3 is the third quartile.

[0086] Furthermore, in S5, a two-point calibration method is used to convert the active and passive information data into active and passive images.

[0087] The active-passive composite imaging method described in this embodiment is not limited to frequency band restrictions and can be used in the fields of microwave imaging, millimeter wave imaging, terahertz imaging, etc., and has a wide range of application scenarios.

[0088] Implementation method 2:

[0089] Reference Figure 2This embodiment will be described.

[0090] This embodiment proposes an active-passive composite imaging radar system based on noise waves, including: a noise source 1, an amplifier 2, a modulator 3, a transmitting antenna 4, a focusing lens 6, a receiving antenna 7, a radiometer channel 8, and a data acquisition and processing device 9;

[0091] like Figure 2 As shown, the noise source 1 generates broadband noise, which is amplified to the rated power by the amplifier 2, modulated by the modulator 3, fed back to the transmitting antenna 4, and irradiated to the observation scene. The receiving antenna 7 is arranged on the focal plane of the focusing lens 6. The focusing lens 6 focuses the millimeter waves from the observation scene on the receiving antenna 6, and generates the original data image of the observation scene through the radiometer channel 8; the data acquisition and processing device 9 is arranged on the side of the receiving antenna 7 away from the focusing lens 6, and uses the active and passive composite imaging method based on noise waves described in the first embodiment to process the original data, and finally obtain active images and passive images.

[0092] Among them, the data acquisition and processing device 9 includes: a data acquisition device 91, a data processor 92 and a data display 93; the data acquisition device 91 is used to acquire the original data image of the observation scene; the data processor 92 processes the original data image acquired by the data acquisition device 91 to obtain active images and passive images; the data display 93 is used to display the fusion enhanced image.

[0093] Furthermore, the modulator in the radar system described in this embodiment may be a single-pole single-throw switch, an amplitude modulator or other modulation forms.

[0094] Furthermore, the noise source in the radar system described in this embodiment may be a thermal radiation noise source, an artificial noise source, etc.

[0095] Furthermore, the radiometer channel in the radar system described in this embodiment may be a row of radiometer arrays.

[0096] Implementation method three:

[0097] Reference Figure 3 , Figure 4 , Figure 5 This embodiment will be described.

[0098] This embodiment uses the imaging of a "heat" source and a metal sheet in a typical room as an example to exemplify the active and passive composite imaging method based on noise waves and the active and passive composite imaging radar system based on noise waves described in Embodiments 1 and 2.

[0099] The "heat" source refers to an object in the scene whose physical temperature is higher than the environment, and thus is highlighted in the passive image. In this embodiment, a heating silicone sheet is placed on the back of the absorbing material, located at the lower left corner of the imaging surface, and a metal sheet is placed at the upper right corner of the imaging surface. Figure 3 shown.

[0100] In the millimeter wave imaging, the contrast of each object in the active image and the passive image is different. Through the above processing method, the active information and the passive information in the image are separated, and then the active image and the passive image are generated respectively.

[0101] First, the original image of the target is obtained using the above-mentioned millimeter-wave integrated active and passive simultaneous imaging radar system, such as Figure 4 As shown. It can be seen that both the metal sheet and the heating sheet have high brightness temperature. Therefore, it is of great significance to distinguish the active image from the passive image in the scene, which can reflect the difference between the backscattering characteristics of the target (corresponding to the highlight area in the active image) and the radiation characteristics of the target (corresponding to the highlight area in the passive image) and the environment, so as to enhance the image quality and detect the target. As a routine operation of data processing, the original image can be denoised by filtering algorithms such as low-pass filtering and median filtering before processing.

[0102] Substitute the original data, scanning speed, and sampling frequency into the formula The original data of each pixel can be obtained by calculation, and the average is as follows Figure 4 shown.

[0103] S3: according to the mathematical relationship between the original data in the divided pixels and the noise wave modulation information, obtain the correlation value and the mean value of the corresponding pixel;

[0104] Finally, according to the relationship between the pixel correlation value and active information, the mean and passive information, the active information data and passive information data of the pixel are calculated respectively, and the image is synthesized to generate the active image as shown in Figure 4 As shown and passive images such as Figure 5 shown.

[0105] At this point, all the work of this integrated active and passive simultaneous imaging based on noise waves has been completed. The final image has completed active and passive imaging of the scene. It not only measures the radiation characteristics of the target in the scene, but also can detect the backscattering characteristics of the target in the scene, thereby improving the target detection capability.

[0106] Integrated active and passive simultaneous imaging in images is of great significance for millimeter wave imaging applications. The integrated active and passive simultaneous imaging method and radar system based on noise waves obtains active information images and passive information images of the scene by using the system, obtains more information about the scene, and breaks through the limitation that some targets cannot be detected in the traditional single imaging system. The processing method is simple and effective, and has good robustness.

[0107] Those skilled in the art will appreciate that the above are only preferred embodiments of the present invention, and the various embodiments of the present disclosure and / or the features described in the claims may be combined or combined in various ways, even if such combinations or combinations are not explicitly described in the present disclosure. It is not intended to limit the present invention. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art may still modify the technical solutions described in the aforementioned embodiments, or perform equivalent substitutions on some of the technical features therein. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention shall be included in the protection scope of the present invention.

[0108] Although the preferred embodiments of the present invention have been described, those skilled in the art may make other changes and modifications to these embodiments once they have learned the basic creative concept. Therefore, the appended claims are intended to be interpreted as including the preferred embodiments and all changes and modifications that fall within the scope of the present invention.

[0109] Obviously, those skilled in the art can make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if these modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include these modifications and variations.

[0110] Those skilled in the art will appreciate that the embodiments of the present disclosure may be provided as methods, systems or computer program products. Therefore, the present disclosure may take the form of a complete hardware embodiment, a complete software embodiment or an embodiment combining software and hardware. Moreover, the present disclosure may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0111] The present disclosure is described with reference to flowcharts and / or block diagrams of methods, devices (systems) and computer program products according to embodiments of the present disclosure. It should be understood that each process and / or block in the flowchart and / or block diagram and the combination of processes and / or blocks in the flowchart and / or block diagram can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 These computer program instructions can also be stored in a computer-readable memory that can guide a computer or other programmable data processing device to work in a specific way, so that the instructions stored in the computer-readable memory produce a product including an instruction device, which implements the functions specified in the process. Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0112] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0113] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present disclosure rather than to limit its protection scope. Although the present disclosure has been described in detail with reference to the above embodiments, ordinary technicians in the relevant field should understand that after reading the present disclosure, those skilled in the art can still make various changes, modifications or equivalent substitutions to the specific implementation methods of the invention, but these changes, modifications or equivalent substitutions are all within the protection scope of the disclosed claims to be approved.

Claims

1. A noise wave-based active and passive composite imaging method, characterized in that: The method comprises: S1: According to the imaging radar system, design noise wave modulation, obtain noise wave modulation information, and obtain the original data of the observation scene; S2: pixel division of raw data according to pixel size, sampling frequency and scanning speed; S3: Obtain the correlation value and mean value of the corresponding pixel according to the original data and noise wave modulation information in the divided pixel; S4: Obtain active information data and passive information data according to the correlation value and the mean value; S5: According to the active information data and the passive information data, an active information image and a passive information image are obtained to complete imaging.

2. The active and passive composite imaging method based on noise wave according to claim 1, characterized in that: The raw data of the observed scene is the raw data of active and passive superposition of the observed scene.

3. The active and passive composite imaging method based on noise wave according to claim 1, characterized in that: The S2 includes: The original data is divided into several segments, each segment represents the original data of a pixel, specifically: X n =[x (n-1)×N+1 ,x (n-1)×N+1 ,x (n-1)×N+1 ,......,x (n-1)×N+N ], Where n is the pixel index, x i is the collected voltage value, i is the matrix element index, and N is the data length.

4. The active and passive composite imaging method based on noise wave according to claim 3, characterized in that: N is calculated by the following formula:

5. The active and passive composite imaging method based on noise wave according to claim 1, characterized in that: The S3 includes: S31: Obtain the modulation information of the noise wave Y=[y1, y2, y3, ...], y i =0,1, the original data X in the divided pixel n ; S32: Using formula Calculate the correlation value of the pixel. Where i is the matrix element index, [*] T is the transpose of the matrix, Y i is a subset of the modulation information Y, denoted as Y i =[y i ,y i+1 ,y i+2 , ..., y i+N-1 ]; S33: Select the maximum value of the correlation value Cor n,max , and record the Y at this time i , denoted by Y n ,k; S34: Using formula Calculate the mean of each pixel, Among them, ||*|| is the L-1 norm operator.

6. The active and passive composite imaging method based on noise wave according to claim 1, characterized in that: The S4 includes: S41: Using formula Calculate active information data; S42: Using formula Calculate passive information data, Where L is Z′ n The length of Z′ n Obtained by the following formula: Z′ n ={x|x∈Z n ,x∈Whisker}, in, Whisker represents an interval of the Zn box plot [Q1-α·IQR, Q3+α·IQR], where Q1 is the first quartile and Q3 is the third quartile.

7. An active-passive composite imaging radar system based on noise waves, characterized in that: The radar system comprises: Noise source (1), amplifier (2), modulator (3), transmitting antenna (4), focusing lens (6), receiving antenna (7), radiometer channel (8), data acquisition and processing device (9); The noise source (1) generates broadband noise, which is amplified to a rated power by the amplifier (2), modulated by the modulator (3), fed back to the transmitting antenna (4), and irradiated to the observation scene. The receiving antenna (7) is arranged on the focal plane of the focusing lens (6), and the focusing lens (6) focuses the millimeter waves from the observation scene on the receiving antenna (6), and generates a raw data image of the observation scene through the radiometer channel (8); the data acquisition and processing device (9) is arranged on a side of the receiving antenna (7) away from the focusing lens (6), and uses the active and passive composite imaging method based on noise waves as described in any one of claims 1 to 6 to process the raw data, and finally obtain active images and passive images.

8. The active-passive composite imaging radar system based on noise waves according to claim 7, characterized in that: The data acquisition and processing device (9) comprises: a data acquisition device (91), a data processor (92) and a data display (93); the data acquisition device (91) is used to acquire the original data image of the observation scene; the data processor (92) processes the original data image acquired by the data acquisition device (91) to obtain an active image and a passive image; and the data display (93) is used to display the image.

9. Computer device, characterized in that The method comprises a memory and a processor, wherein a computer program is stored in the memory, and when the processor runs the computer program stored in the memory, the processor executes the method according to any one of claims 1 to 6.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium is used to store a computer program, and the computer program executes the steps of any one of claims 1-6.

Images