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A Bistatic ISAR Imaging Method Based on Weighted l1 Norm Constraints

A technology of L1 norm and imaging method, applied in the direction of radio wave reflection/re-radiation, instruments, measuring devices, etc., can solve the problem of not distinguishing the amplitude of each pixel, and achieve strong scattering point extraction ability and anti-noise interference effect of ability

Active Publication Date: 2022-05-06
ARMY ENG UNIV OF PLA
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Problems solved by technology

However, since it is assumed that each pixel of the image obeys the sparse prior of the same distribution, it does not distinguish the magnitude of each pixel

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  • A Bistatic ISAR Imaging Method Based on Weighted l1 Norm Constraints
  • A Bistatic ISAR Imaging Method Based on Weighted l1 Norm Constraints
  • A Bistatic ISAR Imaging Method Based on Weighted l1 Norm Constraints

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[0069] In order to understand the above-mentioned purpose, features and advantages of the present invention more clearly, the present invention will be further described in detail below in conjunction with the accompanying drawings and specific embodiments. It should be noted that, in the case of no conflict, the embodiments of the present application and the features in the embodiments can be combined with each other.

[0070] In the following description, many specific details are set forth in order to fully understand the present invention. However, the present invention can also be implemented in other ways different from those described here. Therefore, the protection scope of the present invention is not limited by the following disclosure. Limitations of specific embodiments.

[0071] Such as figure 1 As shown, the specific implementation steps of this embodiment are as follows:

[0072] Step 1, establish bistatic ISAR imaging echo model:

[0073] Assume that the tar...

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Abstract

The invention discloses a bistatic ISAR imaging method based on weighted L1 norm constraints, which belongs to the technical field of radar signal processing, and adopts the following steps: Step 1. Establishing a bistatic ISAR imaging echo model to obtain full aperture echo data; Step 2. Construct a sparse basis matrix to obtain the sparse representation of the full aperture echo data, construct an observation matrix to obtain the sparse aperture echo data, and establish a bistatic ISAR sparse aperture imaging model based on compressed sensing; Step 3. Set each pixel of the target to be sparse The same distribution is subject to Laplace prior, and the maximum posterior probability estimation function of the target image is established by Bayesian criterion, which is approximated as a weighted L1 norm constraint solving problem; step 4, using the Cauchy-Newton algorithm for weighted L1 norm constraint The solution of the optimization problem realizes the reconstruction of the target image; the invention can make better use of the energy accumulation and structural characteristics of the target, and is beneficial to improve the imaging quality.

Description

technical field [0001] The invention relates to a bistatic ISAR imaging method based on weighted L1 norm constraints, which belongs to the technical field of radar signal processing. Background technique [0002] Bistatic Inverse Synthetic Aperture Radar (Inverse Synthetic Aperture Radar, ISAR) inherits the unique advantages of bistatic radar, and uses the split mode of transceiver to enhance the system flexibility, improve the imaging probability, monitor, track, image and identify targets, and Winning future wars is of great significance. [0003] Due to the split characteristics of the bistatic transmitter and receiver and the need to continuously switch beams when observing the target, it is easy to cause echo loss and sparse aperture during the observation process. Due to the spatial sparsity of ISAR images, many scholars have applied the compressed sensing theory to ISAR imaging to improve the imaging quality. In the choice of reconstruction algorithm, greedy iterati...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G01S13/90G01S7/41
CPCG01S7/41
Inventor 朱晓秀胡文华郭宝锋尚朝轩吕贵洲马俊涛曾慧燕薛东方史林韩宁
Owner ARMY ENG UNIV OF PLA
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