Phase-coherent accumulation detection method for variable acceleration moving target

Abstract

The invention discloses a phase-coherent accumulation detection method for a variable acceleration moving target. The method comprises the steps of calculating distance dimension frequency domain dataaccording to a target echo signal and a reference signal which are received by radar; performing short-time Fourier conversion on the distance dimension frequency domain data along slow time dimension; obtaining a data construction compensation model according to short-time Fourier conversion for distance migration compensation; estimating target acceleration and target acceleration change rate by a third phase function; calculating to obtain a three-dimensional echo signal by the compensation model, and performing migration compensation on a second item and a third item of three-dimensionalecho signal slow time dimension according to a target acceleration estimation value and an acceleration conversion rate estimation value; and performing rapid Fourier conversion on the all three-dimensional echo signals after migration compensation along the slow time dimension to obtain phase-coherent accumulation data, and comparing square of a modular value of the phase-coherent accumulation data with a constant false alarm detection preset threshold to judge whether a target exists or not. By the method, the detection performance of the radar on the acceleration moving target can be effectively improved.

Description

technical field [0001] The invention belongs to the field of radar signal processing, in particular to a coherent accumulation detection method for a moving target with variable acceleration. Background technique [0002] Increasing the coherent accumulation time is a relatively common technique to improve radar detection capability. However, the long-time coherent accumulation technique is only applicable to the situation where the target echo does not have any migration. When the target velocity, acceleration and acceleration change rate are large, long-term coherent accumulation will cause the target echo to face range migration and Doppler migration, thereby reducing the accumulation gain. Therefore, the study of radar target migration compensation method has become a key issue to improve the detection ability of moving targets with variable acceleration. [0003] Some typical algorithms, such as keystone transform and Radon-Fourier transform, can effectively compensat...

AI Technical Summary

Problems solved by technology

When the signal-to-noise ratio is relatively low or multiple targets are in the same range unit, the keystone transformation-cubic phase function may miss detection, thereby reducing the detection probability of the radar target

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