Algorithm of Blind Radar Signal Separation Based on Improved FastICA
XIONG Zhiwei
GAO Xianjun
YANG Chengzhi
WANG Long
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 .
Keywords：blind signal separationindependent components analysisradar signal processingdamping newton meth-odpenalty function
Publication Date：2015-01-01
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：5( 1409-1412,1539 )