Adaptive Channel Equalization Algorithm For Digital Array Radar

The digital array radar is widely used, which can offer significant advantages. For example, it can obtain several independent beams for not losing SNR, use the alterable weights to control the character of the beam, adaptive, and low sidelobe. For the multi-channel system, it requires that array channels are distortionless across the entire signal bandwidth and frequency responses are identical for all channels. However, in the process of transmission, transform, magnify, the amplitude and phase of array receiver channels are ineluctable mismatch. The receiver channel mismatch will give rise to much degradation of the performance for array signal processing. To compensate the degradation derived from the channel mismatch, the algorithm of channel equalization is presented and developed rapidly.This dissertation is focused on solving the problems derived from the channel mismatch. First, the influence of the difference in amplitude and phase among channels on digital array radar signal processing is analyzed. Then, several efficient adaptive channel equalization methods are introduced, which can compensate the channel mismatch automatically by the Least Square and Recursive Least Square theory in the time and frequency space. The simulations and performance analyzes verify the correctness and efficacy of these algorithms. Last, the effect of equalizer parameters for equalization performance is analyzed in detail. The computer simulations results indicate that the proposed methods can fairly improve the performance of the digital array radar signal processing and this dissertation studies have some theory reference value in the future engineering application.