Radar target detection method under sea clutter background based on alternating direction method

Abstract

The invention discloses a radar target detection method under a sea clutter background based on an alternating direction method (ADM). The method comprises the following steps: selecting two frames of radar images for normalization; recombining the normalized two frames of radar images into a plurality of matrixes according to columns; subjecting each recombined matrix to foreground and background separation based on an alternating direction multiplier method, decomposing the recombined matrix into a low-rank matrix and a sparse matrix, wherein the low-rank matrix corresponds to a sea clutter component, and the sparse matrix corresponds to an interested target component; setting an ADM iteration stop condition of each recombination matrix; sequentially arranging the separated low-rank matrixes according to columns to form a recovery matrix, detecting a sea clutter result; and sequentially arranging the separated sparse matrix into a recovery matrix according to columns, and detecting an interested target result. According to the invention, the difficulty of hyper-parameter selection when the matrix separation technology is applied to clutter suppression is reduced, and target extraction and clutter suppression are effectively realized.

Description

technical field [0001] The invention relates to the technical field of radar target detection, in particular to a radar target detection method based on an alternating direction method under sea clutter background. Background technique [0002] The tasks of developing, utilizing, protecting, and controlling the ocean are becoming more and more arduous. The successful completion of these tasks is inseparable from the information obtained by various ocean monitoring radar systems. However, the non-uniform, non-stationary and non-Gaussian characteristics of sea clutter make it easy to produce extremely strong echoes (sea wave peaks). These strong echoes are very similar to the characteristics of target echoes. If they are not effectively filtered, It will cause a large false alarm. Therefore, ocean surveillance radars have to have strong sea clutter suppression capabilities in order to better detect various targets. Therefore, how to get close to the actual application scene ...

AI Technical Summary

Problems solved by technology

[0004] In order to overcome the defects and deficiencies in the prior art, the present invention provides a radar target detection method based on the alternate direction method under the background of sea clutter to realize the suppression of sea clutter and the extraction of interested targets; the present invention from the perspective of image processing Starting from the problem of separating clutter and target in ocean surveillance radar images, it is transformed into a matrix factorization problem. Aiming at the low-rank characteristics of the sea clutter background and the sparse characteristics of moving targets, the Alternating Direction Method (ADM) is used to directly separate the two different The part of the characteristics (that is, the clutter and the target) is regarded as two variables. Through alternate iterations, the effective separation of the foreground (target) and background (clutter) of the radar image under the sea clutter background is realized. Statistical characteristics of clutter and complex detail features are difficult to analyze the uncertainty problems, and at the same time fully exploit the low rank of sea clutter and the sparsity of moving targets in radar images, and directly analyze the sparse components (targets) and low The rank component (clutter) is solved alternately and iteratively, which reduces the difficulty of applying the matrix separation technology to the hyperparameter selection problem in clutter suppression, and is conducive to the rapid and effective realization of target extraction and clutter suppression. Feature extraction lays a good foundation

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