一种雷达信号自适应盲分离算法

本文提出了一种将自适应神经网络盲源分离模型用于雷达信号的分离算法,考虑雷达信号应包括回波信号和干扰信号等,并将噪声信号视为高斯白噪声,遵循盲源分离的理论基础,假设各信号之间与噪声之间为相互独立,利用自适应不完整自然梯度法实现雷达信号的有效分离。新算法解决了传统滤波理论分离雷达信号繁琐和复杂的问题,也为自适应神经网络分离系统能够应用于更广泛的领域提出了较为客观的指导。

Seff-adaption Blind Source Separation Method of a Radar Signal

This paper presents a way to apply adaptive neural network model for blind source separation algorithm in the separation of radar signals, radar signals should be considered include the echo signal and interference signals and noise as Gaussian white noise,following the blind source separation theory and assuming that the signal and noise are mutual independence, the use of adaptive incomplete natural gradient method realizes the effective separation of radar signals. New algorithm has solved the traditional complex separation of radar signal filtering, but also provides a more objective guidance for adaptive neural network system being applied more widely.