Radar Clutter Suppression Method Based on Adaptive Iterative Backward Smooth Conjugate Gradient

Abstract

The invention discloses a radar clutter suppression method based on a self-adaptive iteration forward and background smooth conjugate gradient. The idea is that three-dimensional echo signals X<NxMxL> of airborne early warning radar are acquired; a covariance matrix R<^> of the three-dimensional echo signals of airborne early warning radar and a wave beam pointing direction vector S of X<NxMxL> are respectively calculated, and a forward and background smooth clutter covariance matrix R<^><FB> of airborne early warning radar is calculated according to the R<^>; feature value decomposition is performed on the R<^> so that NM feature values lambda(R<^>) of the R<^> are obtained, and thus r feature values after feature value decomposition of covariance matrix R<^> of the three-dimensional echo signals of airborne early warning radar are obtained; an initial search vector d<^><1>=S, an initial gradient vector gamma<^><1>=-S, an initial weight vector omega<^><0>=0 and an initial step alpha<^><0>=0 of a conjugate gradient method are respectively set; k is the number of iterations and the range of k is set as one of {1,2,3,...,r+1}; k is enabled to add 1, and the step alpha<^><k> after the kth iteration, the weight vector omega<^><k> after the kth iteration, the gradient vector gamma<^><k+1> after the kth iteration and the search vector d<^><k+1> after the kth iteration are calculated in turn so that the optimal weight vector is calculated; and the airborne early warning radar echo signals after clutter suppression processing are calculated.

Description

technical field [0001] The invention belongs to the technical field of radar clutter suppression, and particularly relates to a radar clutter suppression method based on adaptive iterative forward and backward smooth conjugate gradients, which is used to solve the problem of airborne radar in a non-uniform clutter environment due to satisfying independent and identically distributed The problem of inaccurate estimation of the clutter covariance matrix caused by insufficient training samples of the condition can be solved, and the radar clutter suppression performance of adaptive signal processing can be improved, and the detection probability of the target can be improved. Background technique [0002] The main task of the airborne early warning radar is to detect the target in the complex clutter background and perform positioning and tracking. The irregular change of clutter makes target detection difficult, and the spatial change and non-uniformity of clutter environment ...

AI Technical Summary

Problems solved by technology

The effects of the CG method and the MWF method are equivalent, but the CG method does not need to perform backward recursion like the MWF method, but it needs to estimate the covariance matrix, so in practical applications, there will also be training samples that satisfy the independent and identical distribution conditions Inaccurate estimation of clutter covariance matrix caused by insufficient number

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