Robust adaptive pulse compression method based on linear constraint minimum variance criterion

Abstract

A robust adaptive pulse compression method based on the linear constraint minimum variance criterion comprises the steps of: S1, performing matched filtering on input distance dimension echo data y through a transmitted linear frequency modulation signal sequence s, outputing a processing result, wherein the cycle processing frequency P is equal to 1; S2, partitioning all sampling points y(l) and transmitted linear frequency modulation signal waveforms s in echo pulses at a distance position l in the Pth cycle; S3, adding a gain constraint condition and a zero point constraint condition on a minimum variance distortionless response principle, and obtaining an adaptive pulse compression cost function for a distance position l based on a linear constraint minimum variance principle; S4, setting a zero setting condition of a covariance matrix, and solving a block covariance matrix; S5, calculating an adaptive pulse compression weight vector w(l) according to S3 and S4; S6, enabling the weight vector w(l) to act on the y(l) corresponding to the distance position l to obtain an adaptive pulse compression processing result of the distance position; repeating the steps S2 to S6, and when l=y-P(N-1)-1, stopping to obtain xP; and S7, when P is equal to 6, obtaining an adaptive pulse compression processing result xP.

Description

technical field [0001] The invention relates to the field of radar signal processing, in particular to a robust adaptive pulse compression method based on the linear constraint minimum variance criterion. Background technique [0002] The pulse compression technology based on a large time-width-bandwidth product signal can meet the requirements of radar detection range and range resolution at the same time. Traditional pulse compression techniques are usually implemented using a matched filter (Matched Filter, MF). The matched filter is an optimal linear filter that maximizes the output signal-to-noise ratio under point target and white noise conditions. However, in practical applications, the output of the matched filter has the problem that the strong target range sidelobe may cover the main lobe of the adjacent weak target. Windowed pulse compression technology can suppress part of the range sidelobe energy of strong targets, but the effect is limited. The adaptive pul...

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Problems solved by technology

[0004] Aiming at the problem that the processing performance of adaptive pulse compression drops significantly when there is a distance sampling mismatch in the chirp signal echo, the present invention provides a robust adaptive pulse compression method based on the linearly constrained minimum variance criterion

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