A stap method based on cyclostationary and symmetric prior knowledge

Abstract

The invention discloses a STAP method based on cyclostationary and symmetric prior knowledge. The present invention uses the cyclostationary characteristics of the echo signal, selects a reasonable cyclic frequency and combines the data of the sample unit to obtain a cyclic autocorrelation matrix, replaces the clutter covariance matrix in the traditional STAP with this matrix, and obtains the cyclostationary The characteristic STAP method; reusing the real clutter covariance matrix with Hermite symmetry, the present invention further modifies the cyclic autocorrelation matrix, and obtains the symmetry correction cyclic autocorrelation matrix method proposed by the present invention. The implementation of the invention solves the problems of large sample requirement and difficult acquisition of prior information in similar STAP methods, makes full use of the characteristics of the echo signal itself, and improves the performance of the STAP method.

Description

technical field [0001] The invention belongs to the technical field of radar, and in particular relates to a STAP clutter suppression method using the cyclostationary characteristic of an echo signal itself and the Hermite symmetry of the clutter covariance matrix as prior knowledge. Background technique [0002] STAP (pace-time adaptive processing, space-time adaptive processing) is an effective interference and clutter suppression method, which is widely used in technical fields such as communication, sonar and radar. The STAP method requires the optimal filtering weight vector of the CUT (cell under test) where the design target is located: The output SCNR (signal to clutter plus noise ratio, signal-to-noise ratio) can be maximized, so as to achieve the purpose of adaptive filtering; wherein, R (l 0 ) is the true clutter covariance matrix of CUT, S(f d , θ) is the space-time steering vector of the target. In the STAP method, for R(l 0 ) estimation accuracy is a key f...

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Problems solved by technology

[0005] The purpose of the invention is to propose a method based on echo signal cyclostationary and symmetric prior knowledge in view of the technical problems that the current traditional STAP method has a large sample requirement and the prior knowledge based on the knowledge-assisted STAP method is difficult to obtain accurately. STAP method

[0006] Based on the cyclostationary characteristics of the echo signal, the present invention combines a reasonable cyclic frequency selection strategy on the basis of the traditional STAP method to obtain a cyclic autocorrelation matrix that can reflect the cyclostationary characteristics of the signal, so as to solve the large sample demand of the traditional STAP method. technical issues

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