Method for sparse reconstruction of conformal array clutter covariance matrix

Abstract

The invention belongs to the technical field of radar signal processing, and discloses a method for sparse reconstruction of a conformal array clutter covariance matrix. The method comprises the following steps: setting a conformal array as a uniform semicircular array composed of N array elements; determining the position and the array element pattern of each array element, determining the beam steering vector of the conformal array, and getting the array pattern of the conformal array; selecting an observation range gate l of clutter data, getting space-time steering vectors respectively corresponding to Nc clutters on the lth observation range gate and the clutter power corresponding to the lth observation range gate; and getting clutter data of a to-be-detected unit. Based on the prior knowledge of carrier aircraft information and array information and the data of the to-be-detected unit, a clutter plus noise covariance matrix is sparsely reconstructed using the method disclosed by the invention. The method avoids the problems of insufficient samples and sample contamination.

Description

technical field [0001] The invention belongs to the technical field of radar signal processing, and in particular relates to a sparse reconstruction method of a conformal array clutter covariance matrix, which is suitable for reconstruction of the clutter covariance matrix and clutter suppression under the conformal array. Background technique [0002] Space-time Adaptive Processing (STAP) is an effective means of clutter suppression, and can effectively improve the ability of radar to detect weak and slow targets. [0003] The traditional space-time adaptive processing method is the sampling covariance matrix inversion method (Sample MatrixInverse, SMI), but this method is usually only suitable for uniform linear arrays in the case of front and side viewing, and for non-normal linear arrays affected by distance migration. The performance of this method will drop sharply for side-view arrays and conformal arrays. For this reason, some scholars have successively proposed Dop...

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Problems solved by technology

[0004] Aiming at the deficiencies of the above-mentioned prior art, the object of the present invention is to provide a sparse reconstruction method of a conformal array clutter covariance matrix, which utilizes single range gate data to reconstruct the clutter covariance matrix, avoiding insufficient number of samples and pollution problem

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