计算机与数字工程Issue(8)：1409-1412,1539,5.DOI:10.3969/j.issn1672-9722.2015.08.010
基于改进 FastICA 的雷达信号盲分离算法
Algorithm of Blind Radar Signal Separation Based on Improved FastICA
摘要
Abstract
In the complex electromagnetic environment ,mixed spectrum radar signal blind separation is an effective means of signal sorting .The traditional blind separation algorithm convergence slow ,require a higher initial value and other shortcomings ,greatly influenced the separation .On the basis of (ICA) model on independent component analysis ,using of the maximize of the negative entropy as the objective function ,raise a new improved algorithm that combine damping Newton method with penalty function to optimize it ,change the original problem to a unconstrained problem ,increase the conver-gence speed .Using this method to make simulation experiment of five random mixing radar signal ,successfully obtain the separation signal ,effectively improve the convergence rate ,simplify the separation conditions and achieve a better blind sig-nal separation effect .关键词
盲分离/独立分量分析/雷达信号处理/阻尼牛顿法/罚函数Key words
blind signal separation/independent components analysis/radar signal processing/damping newton meth-od/penalty function分类
信息技术与安全科学引用本文复制引用
熊智威,高宪军,杨承志,王龙..基于改进 FastICA 的雷达信号盲分离算法[J].计算机与数字工程,2015,(8):1409-1412,1539,5.
