Time-space adaptive processing method based on radar amplitude and Doppler frequency estimation

Abstract

The invention discloses a time-space adaptive processing method based on radar amplitude and Doppler frequency estimation. The approach is as follows: determining an airborne radar which emits pulse signals and receives radar echo signals in a detection scope, obtaining an N*M*L-dimensional radar echo signal matrix through calculation, calculating a D*L-dimensional radar echo signal matrix P of power values at D Doppler channels corresponding to L distance units in N array elements, obtaining K targets, accordingly, obtaining a diffusion distance unit scope corresponding to power spectra of the K targets, initializing K, calculating an M*delta1k*C-dimensional radar echo signal estimation matrix Tk corresponding to delta1K diffusion distance units in a diffusion matrix unit diffusion scope Lk of the power spectrum of the k-th target, accordingly, calculating a power spectrum diffusion estimation matrix Tk<^> of the k-th target, adding one to k until the power spectrum diffusion estimation matrix Tk<^> of the k-th target is obtained, and then according to a scope from the obtained power spectrum diffusion estimation matrix T1<^> of the first target to the power spectrum diffusion estimation matrix Tk<^> of the k-th target, calculating a training sample F for time-space adaptive processing of the airborne radar.

Description

technical field [0001] The invention belongs to the field of radar technology, in particular to a space-time adaptive processing method based on radar amplitude and Doppler frequency estimation, which is suitable for suppressing clutter and detecting targets in echo signals received by airborne radars. Background technique [0002] With its unique combat characteristics, airborne radar is regarded as a strategic weapon that can influence the situation on the battlefield by the militaries of various countries. The performance of airborne radar for target detection is mainly limited by the following factors: In addition to the signal component and noise component of the target to be detected, the radar echo signal received by the airborne radar when looking down is also the signal reflected from the ground, which is called Ground clutter will have a great impact on target detection, and because the ground clutter received by airborne radar has significant space-time coupling c...

AI Technical Summary

Problems solved by technology

Current sample selection methods such as generalized inner product method (GIP) and adaptive power residual method (APR) not only cannot accurately remove the target signal from the training data, but also cannot solve the problem of the target in the range direction caused by the radar echo signal processing. and Doppler-oriented power diffusion, which aggravates the pollution problem of the target signal to the training samples

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