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Sparse hole diameter ISAR imaging method based on SBL-ADMM

A SBL-ADMM, sparse aperture technology, applied in the direction of reflection/re-radiation of radio waves, utilization of re-radiation, measurement devices, etc., can solve problems such as low computing efficiency

Active Publication Date: 2019-09-17
NAT UNIV OF DEFENSE TECH
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Problems solved by technology

[0005] The idea of ​​the present invention is to solve the problem of low computational efficiency of the Bayesian compressed sensing sparse aperture ISAR imaging method, and proposes a sparse aperture ISAR imaging method based on sparse Bayesian learning and alternating direction multipliers (SBL-ADMM)

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[0096] specific implementation plan

[0097] The present invention will be further described below in conjunction with accompanying drawing:

[0098] figure 1 It is the general processing flow of the present invention.

[0099] A kind of sparse aperture ISAR imaging method based on SBL-ADMM described in the present invention, comprises the following steps:

[0100] S1: Sparse aperture radar echo modeling;

[0101] S2: Statistical modeling of target HRRP and ISAR images;

[0102] S3: Sparse aperture ISAR image reconstruction based on SBL-ADMM;

[0103] In the process of parameter initialization, the auxiliary variable Z and the Lagrange multiplier Y are initialized to an all-zero matrix of size M×N, and the reciprocal of the noise variance is initialized to 0.1 / var(H), where var( ) represents variance Operator, the reciprocal variance matrix γ of the ISAR image X is initialized to a matrix of all 1s with a size of M×N, and the penalty factor ρ is set to 1 / N.

[0104] Firstl...

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Abstract

The invention belongs to the field of radar signal processing, and in particular relates to a sparse hole diameter ISAR imaging method based on SBL-ADMM. The method comprises the following steps of S1, sparse hole diameter radar echo modelling; S2, target HRRP and ISAR image statistical modelling; and S3, sparse hole diameter ISAR image reconstruction based on SBL-ADMM. The method provided by the invention has the beneficial effects that the target sparse prior information can be fully used, the high-resolution target ISAR image can be reconstructed from the sparse hole diameter radar echoes; and aiming at the problem that solving of the posterior probability during an ISAR imaging process involves matrix inversion and is high in computation complexity, ADMM is combined with the SBL theoretical framework, the computation efficiency of the sparse hole diameter ISAR imaging method is significantly improved, and the engineering practicability of the method is greatly enhanced.

Description

technical field [0001] The invention belongs to the field of radar signal processing, and in particular relates to a sparse aperture ISAR imaging method based on sparse Bayesian Learning-Alternating Direction Method of Multipliers (Sparse Bayesian Learning-Alternating Direction Method of Multipliers, SBL-ADMM). Background technique [0002] With the development of radar technology, it can not only measure the target distance, but also obtain high-resolution images of the target. According to the relative motion relationship between radar and target, radar imaging technology can be divided into synthetic aperture radar (SAR) imaging and inverse synthetic aperture radar (ISAR) imaging technology. Among them, ISAR imaging technology can obtain high-resolution images of moving targets, and has been widely used in space target surveillance, missile defense, radar astronomy and other fields. [0003] In the field of radar imaging, radar echoes with certain pulse loss are generall...

Claims

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Application Information

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IPC IPC(8): G01S13/90
Inventor 张双辉刘永祥黎湘霍凯姜卫东高勋章
Owner NAT UNIV OF DEFENSE TECH
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