Dimension reduction space-time adaptive weight calculation method based on array element order recursion

Abstract

The invention provides a dimension reduction space-time adaptive weight calculation method based on array element order recursion by using array element order block recursion according to the Hermitian property of a space-time covariance matrix specific to the defects of the consumption of huge operation amount and equipment amount and difficulty in effectively performing real-time processing due to direct performance of space-time covariance matrix inversion operation in the conventional STAP (Space Time Adaptive Processing) algorithm adaptive weight calculation. The method comprises the following steps: performing dimension reduction processing on space-time data; performing recursion according to the property of a block Hermitian matrix to obtain the inverse of the covariance matrix of a first array element; performing gradual nested recursion according to an array element order to obtain the inverse of a final space-time covariance matrix; calculating the STAP adaptive weight by using the obtained inverse matrix of the space-time covariance matrix.

Description

technical field [0001] The invention belongs to the technical field of airborne phased array radar clutter suppression, and relates to a space-time adaptive weight calculation method based on array element order recursion. Background technique [0002] The main job of airborne phased array radar is to detect moving targets. Due to the relative motion between the carrier platform and the ground clutter, the Doppler frequency of the clutter echo is not only related to the velocity of the carrier platform, but also to the clutter scattering point. The azimuth is related to the elevation angle, indicating the coupling of the time domain and the air domain. The Doppler frequency of the moving target echo is not only related to the movement of the carrier platform, but also related to its own movement. If only Doppler processing is used, the Doppler spectrum of the moving target must exceed the Doppler spectrum width of the clutter to be detected. If the platform speed is high or...

AI Technical Summary

Problems solved by technology

[0005] The present invention aims at the disadvantages of direct space-time covariance matrix inversion operation in conventional STAP algorithm adaptive weight calculation, which consumes a huge amount of calculation and equipment, and is difficult to effectively perform real-time processing. According to the Hermitian nature of the space-time covariance matrix, it uses The array element order is recursively divided into blocks, and a dimensionality reduction space-time adaptive weight calculation method based on the array element order recursion is proposed

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