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Saliency-map-based Laplacian cooperation compression radar imaging method

A radar imaging and significant technology, applied in the direction of radio wave reflection/re-radiation, using re-radiation, measurement devices, etc., can solve the problems of large calculation amount and slow convergence speed of tracking algorithm

Active Publication Date: 2015-10-28
SUZHOU WENJIE SENSING TECH
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Problems solved by technology

But the process of radar image restoration can be seen as finding a sparse solution of an underdetermined equation, which is an NP-hard problem
In order to solve this problem, scholars have proposed many algorithms such as greedy pursuit algorithm, relaxation algorithm, etc. Among them, the pursuit algorithm has a large amount of calculation and slow convergence speed.

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  • Saliency-map-based Laplacian cooperation compression radar imaging method
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Embodiment Construction

[0054] The specific implementation manners of the present invention will be further described below in conjunction with the drawings and examples. The following examples are only used to illustrate the technical solution of the present invention more clearly, but not to limit the protection scope of the present invention.

[0055] The technical scheme of concrete implementation of the present invention is:

[0056] Such as figure 1 , Figure 2(a) ~ Figure 2(d) As shown, a saliency map-based Laplacian cooperative compression radar imaging method includes the following steps:

[0057] Step 1, using the Range Doppler Algorithm (RDA) to obtain a low-resolution ISAR image;

[0058] Step 2, construct a sparse dictionary:

[0059] a) Assuming that there is no migration beyond the distance unit, noise is introduced, and the l-th distance unit includes K scattering centers with different azimuths, then the echo signal s of the l-th distance unit l (t) is:

[0060] ...

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Abstract

Disclosed in the invention is a saliency-map-based Laplacian cooperation compression radar imaging method. The method comprises the following steps: step 1, carrying out processing by using a range Doppler algorithm to obtain a low-resolution ISAR image; step 2, constructing a sparse dictionary; step 3, carrying out PTC conversion based on a formula on a preliminary ISAR imaging result S^to obtain a saliency map; step 4, constructing a Laplacian matrix of the saliency map; and step 5, in order to obtain a high-resolution ISAR image, carrying out processing by using a basis pursuit algorithm and an analytical method alternately to solve an optimum theta and T. According to the invention, on the basis of the regional homogeneity priori assumption of image data, the background clutter is reduced and noises are suppressed; and the imaging quality is effectively improved.

Description

technical field [0001] The invention relates to a synthetic aperture radar imaging technology, in particular to a saliency map-based Laplacian cooperative compression radar imaging method. Background technique [0002] Inverse Synthetic Aperture Radar (ISAR) is a high-resolution imaging radar that is different from traditional radars. Fine images have important military and civilian value. In order to give full play to the high-resolution imaging capabilities of ISAR and make ISAR better adapt to actual needs and changing application scenarios, it is necessary to continue to conduct in-depth discussions on ISAR technology. [0003] For high-resolution imaging, the response of target scattering can be obtained by superimposing a series of individual reflections. The echo signal of ISAR imaging is sparse in the time domain. According to this prior knowledge, the rapid development of compressed sensing (CS) in recent years In theory, high-resolution radar images can be obtain...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01S13/90
CPCG01S13/90G01S13/9064
Inventor 王敏
Owner SUZHOU WENJIE SENSING TECH
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