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SA-ISAR imaging and self-focusing method based on CV-ADMMN

A Technology of CV-ADMMN, SA-ISAR

Active Publication Date: 2020-12-18
NAT UNIV OF DEFENSE TECH
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0006] The idea of ​​the present invention is to propose a SA-ISAR imaging and self-focusing method based on CV-ADMMN for the problem that the imaging algorithm has strong sensitivity to parameter selection and the traditional self-focusing method is not effective under the condition of sparse aperture.

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Embodiment Construction

[0089] The present invention will be further described below in conjunction with accompanying drawing:

[0090] figure 1 It is the implementation flowchart of the present invention.

[0091] figure 2 and image 3 They are the CV-ADMMN structure and the CV-ADMMN structure embedded with the self-focusing module. The present invention proposes a target SA-ISAR imaging and self-focusing method based on complex domain ADMM-Net, comprising the following steps:

[0092] S1 models the one-dimensional range image sequence of the moving target;

[0093] S2 models the moving target sparse aperture ISAR imaging scene;

[0094] S3 establishes the ADMM reconstruction model of the moving target sparse aperture ISAR imaging problem;

[0095] S4 establishes a CV-ADMMN network structure model;

[0096] S5 uses the CV-ADMMN network structure to solve the sparse aperture ISAR imaging problem;

[0097] Figure 4 (a), Figure 4 (b) is the target one-dimensional range image sequence and I...

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Abstract

The invention belongs to the field of radar imaging, and particularly relates to an SA-ISAR imaging and self-focusing method based on CV-ADMMN, and the method comprises the following steps: S1, carrying out the modeling of a one-dimensional range profile sequence of a moving target; S2, modeling the sparse aperture ISAR imaging scene of the moving target; S3, establishing an ADMM reconstruction model of a moving target sparse aperture ISAR imaging problem; S4, establishing a CV-ADMMN network structure model; S5, solving the sparse aperture ISAR imaging problem by using a CV-ADMMN network structure. The invention has the advantages that moving target sparse aperture ISAR imaging and self-focusing can be achieved, a complete radar image can be rapidly reconstructed under the sparse aperturecondition, and phase error compensation is achieved; and the algorithm performance has weak dependence on parameter selection, so better reconstruction performance is obtained. The method has important engineering application value for sparse aperture ISAR imaging and self-focusing under the condition of data loss.

Description

technical field [0001] The invention belongs to the field of radar imaging, in particular to a target sparse aperture inverse synthetic aperture radar (SA-ISAR) based on complex-valued ADMM-Net (CV-ADMMN) ) imaging and self-focusing method. Background technique [0002] Inverse Synthetic Aperture Radar (ISAR) imaging technology can be used for high-resolution imaging of targets. It has all-weather and all-weather characteristics and is widely used in civilian and military fields. [0003] SA-ISAR imaging refers to the use of sparse aperture radar echoes to image targets. Sparse aperture echo refers to the incomplete echo received by the radar. Generally speaking, the environment and radar receiver noise, the "wide-narrow" alternating mode of multifunctional radar, the random sampling method of compressed sensing radar, and the target switching mode of multi-channel radar will all lead to sparse aperture echo. Under the condition of sparse aperture, the traditional fast Fo...

Claims

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Application Information

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IPC IPC(8): G01S13/90
CPCG01S13/9064
Inventor 张双辉李瑞泽刘永祥霍凯姜卫东黎湘
Owner NAT UNIV OF DEFENSE TECH
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