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Signal Blind Separation Algorithm Applying to Communication Reconnaissance

《南京理工大学学报》(自然科学版)[ISSN:1005-9830/CN:32-1397/N]

Issue:
2008年02期
Page:
189-194
Research Field:
Publishing date:

Info

Title:
Signal Blind Separation Algorithm Applying to Communication Reconnaissance
Author(s):
FU Wei-hong1YANG Xiao-niu2ZENG Xing-wen1LIU Nai-an1
1.State Key Laboratory of Integrated Service Networks,Xidian University,Xi’an 710071,China;2.National Laboratory of Information Control Technology for Communication System,Jiangnan Electronic Communications Research Institute,Jiaxing 314033,China
Keywords:
communication reconnaissance signal processing blind source separation independent component analysis
PACS:
TN971
DOI:
-
Abstract:
With the Kullback-Leibler divergence as cost function,the relative gradient is used to deduce a separation algorithm for communication signal blind separation in the communication reconnaissance.The algorithm given in the paper is proved stable in theory.Simulation results show that this algorithm can effectively separate the original signals from the observed signals with any carrier frequency and any modulation if only these original signals are independent each other.When original signals are not absolutely independent,their performance is decreased a little.

References:

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Last Update: 2008-04-30