Based on Independent Component Analysis of the Frequency-hopping Station Sorting
YANG Yuncheng
SUN Xueli
ZHU Nianbin
Abstract：Complex electromagnetic environment conditions,according to the present more frequency hopping signal feature parameter identification algorithm of network station sorting high timeliness is not strong and the complexity of algorithm,this paper proposes a frequency hopping based on FastICA net station sorting method. Firstly,based on independent component analysis,the algorithm model of parameter identification is established. Then,using the fixed point algorithm,the negative entropy is the maxi?mum target function,and the blind source separation of the mixed frequency hopping signal is completed. The simulation results show that,under the condition of-3db's SNR,the separation speed is increased by 45% and the separation accuracy is over 95%.
Keywords：frequency-hoppingmaximum negative entropyfixed point algorithmindependent component analysisnet-station sorting
Publication Date：2018-01-01
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：5( 41-45 )