Joint estimation method for multi-target motion parameters in pulse Doppler radar system

Abstract

The invention provides a joint estimation method for multi-target motion parameters in a pulse Doppler radar system. The specific process comprises the steps of first, modeling radar echo data, carrying out pulse compression on the radar echo data, and transforming into a fast time-frequency domain to obtain a range frequency domain-azimuth time domain signal; second, performing range walk correction on the range frequency domain-azimuth time domain signal based on Keystone transform, and performing inverse Fourier transform on the corrected signal along the range direction; and third, performing Lv's transform on the processed signal in the second step to estimate motion parameters of targets. The joint estimation method provided by the invention for multi-target motion parameters in thepulse Doppler radar system can simultaneously perform Keystone transform and Lv's transform on multiple targets respectively, so that high-precision parameter estimation can be simultaneously carriedout on multiple targets in the same range unit of the same beam.

Description

technical field [0001] The invention belongs to the technical field of radar measurement, and in particular relates to a multi-target motion parameter joint estimation method under the pulse Doppler radar system. Background technique [0002] Under the conditions of modern warfare, there are often multiple targets in the radar detection area. When multiple targets are located in the same beam and within the same range unit, the conventional motion compensation method for a single target cannot perform motion compensation for multiple targets at the same time, so accurate multi-target parameter estimation cannot be obtained. On pages 210 to 214 of "Proceedings of the IEEE1990 National Aerospace and Electronics Conference" in 1990, a paper based on maximum likelihood estimation was proposed in the article "Simultaneous imaging of multiple targets in an inverse synthetic radar" published by Wu X et al. An algorithm for parameter estimation and motion compensation for multiple ...

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Problems solved by technology

In 1990, "IEEE Transactions on Acoustics Speech and Signal Processing", Volume 38, Issue 12, Page 2118 to 2126, Djuric P M et al. published a paper "Parameter estimation of chirpsignals" which proposed a method based on phase solution and linear regression Algorithm can improve calculation efficiency, but this algorithm can only be used in single-component signal occasions, and requires the original signal-to-noise ratio of the target echo to be higher than 7dB

In the article "Lv's distribution: principle, implementation, properties, and performance" published by Lv X L et al. in "IEEE Transactions on Signal Processing", Volume 59, Issue 8, Page 3576 to 3591 in 2011, a polynomial signal is proposed The algorithm for estimating parameters - Lu's transformation, this algorithm can solve the contradiction between resolution and cross-terms in time-frequency analysis, however, the movement of the target's cross-distance unit within a long accumulation time will seriously affect the parameter estimation of the Lu's transformation algorithm precision

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