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Self-adaption ISAR (information storage and retrieval) imaging method based on confidence frame

An imaging method and self-adaptive technology, applied in the field of radar, can solve the problems of non-adaptive and unfavorable ISAR target imaging, and achieve the effect of improving self-adaptability

Active Publication Date: 2013-09-11
XIDIAN UNIV
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Problems solved by technology

[0004] Although the above compressive sensing ISAR imaging method can obtain sparse ISAR images of the target under certain conditions, it is not self-adaptive due to the use of a fixed Fourier dictionary and requires artificial adjustment of parameters, which is not conducive to ISAR target imaging

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  • Self-adaption ISAR (information storage and retrieval) imaging method based on confidence frame
  • Self-adaption ISAR (information storage and retrieval) imaging method based on confidence frame
  • Self-adaption ISAR (information storage and retrieval) imaging method based on confidence frame

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Embodiment Construction

[0026] refer to figure 1 , the specific implementation steps of the present invention are as follows:

[0027] Step 1: Perform motion compensation on the ISAR radar echo to obtain the echo vector of the ISAR radar with a single range unit.

[0028] Motion compensation for radar returns, including envelope alignment and autofocus. The envelope alignment adopts the minimum entropy method, and the self-focus adopts the joint processing method of multi-point salient points. After motion compensation, the target rotates at a constant speed with the effective rotation vector ω in the X-Y plane, such as figure 2 shown.

[0029] 1.1) Using the linear frequency modulation signal transmitted by the radar, the radar echo signal obtained after motion compensation is:

[0030] s ( t m ) = Σ i = 1 K ...

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Abstract

The invention discloses a self-adaption ISAR (information storage and retrieval) imaging method based on a confidence frame, and mainly solves the problem that the existing imaging method can not be self-adapted to acquire object distance-Doppler ISAR images. The self-adaption ISAR imaging method can be realized through the steps: (1) performing motion compensating on an radar echo to acquire an ISAR echo vector; (2), utilizing the ISAR echo vector as multi-component simple-frequency signal characteristics to acquire imaging dictionary phi; (3), utilizing a gradient method to solve an ISAR vector signal w according to the ISAR echo vectors and the imaging dictionary Phi; (4), utilizing a confidence frame method to solve a regularization parameter lambda and noise power beta according to the ISAR vector signal w; (5), utilizing the acquired regularization parameter Lambada and noise power Beta to solve accurate an ISAR signal vector w'; and (6), performing ISAR imaging on the ISAR signal vector with accurate N distance units and outputting to finally obtained distance-Doppler ISAR images. Compared with the existing imaging methods, the self-adaption ISAR (information storage and retrieval) imaging method based on the confidence frame can be self adapted to acquire objected distance-Doppler ISAR images.

Description

technical field [0001] The invention belongs to the technical field of radar, relates to an ISAR imaging method, and can be used for target detection and recognition. Background technique [0002] Inverse synthetic aperture radar (ISAR) imaging has the advantages of all-day and all-weather, and is an effective means of target detection and recognition. Therefore, ISAR imaging has become a research hotspot in the field of radar technology. [0003] ISAR imaging obtains high range resolution by transmitting broadband signals, and obtains high azimuth resolution by coherently accumulating target echoes, thereby obtaining range-Doppler images. Since the rotation speed of non-cooperative targets relative to the radar line of sight is unknown, the obtained ISAR image azimuth Vidoppler frequency does not represent the real size of the target, which brings certain difficulties to target recognition based on ISAR images. Because the actual system may have a limited number of echo pu...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01S13/89
Inventor 刘宏伟刘红超纠博杜兰王英华
Owner XIDIAN UNIV