Angle-Doppler Imaging Method for Stochastic Pulse Doppler Radar Based on Compressive Sensing

Abstract

The invention discloses a random pulse Doppler radar angle-Doppler imaging method based on compressed sensing. The method comprises the following steps of 1, obtaining space-time compressed sampling data on the basis of a radar system; 2, performing spatial discretization treatment on Doppler frequency space and spatial frequency in the space-time compressed sampling data, and obtaining a space-time oriented dictionary; 3, on the basis of the space-time oriented dictionary, estimating a space-time power spectrum, and obtaining an angle-Doppler image containing clutter and targets. The method effectively solves the problem of target and clutter Doppler ambiguity, improves the clutter suppression and target detection performance, lowers the number of pulses transmitted by a radar system, and can transmit other radar waveforms or observe multiple angles at the same time at identical pulse coherent processing intervals, thereby effectively improving the radar time dimension complexing ability; on the condition of the identical pulse number, the Doppler resolution capability can be effectively improved; the radar waveform low intercept and capture capacity and the anti-jamming capability are stronger.

Description

technical field [0001] The invention belongs to the field of radar signal processing, and more specifically relates to a random pulse Doppler radar angle-Doppler imaging method based on compressed sensing. Background technique [0002] Space-Time Adaptive Processing (STAP) is an important technology for clutter suppression and moving target detection in airborne radar systems. The traditional STAP method requires a high number of training samples, and it is difficult to obtain a large number of samples to design a space-time filter in a non-uniform and non-stationary clutter environment. Such as auxiliary channel method (Auxiliary Channel Processor, ACP), principal component method (Principle Components, PC), local joint processing (joint domain localized, JDL) method, multistage Wiener filter Multistage Winer Filter, MWF) algorithm, auxiliary feature A series of dimensionality reduction or rank reduction algorithms such as the vector method (Auxiliary Eigenvector Processor...

AI Technical Summary

Problems solved by technology

[0004] Aiming at the defects of the prior art, the purpose of the present invention is to provide a random pulse Doppler radar angle-Doppler imaging method based on compressed sensing, aiming to solve the problem of uniform pulse emission mode Doppler radar in the prior art. The transmitted waveform is easy to be intercepted and the anti-interference ability is poor, and the target processing ability in a single coherent processing time interval is improved at the same time

Images