Frontiers of Electrical and Electronic Engineering >

2008 , Vol. 3 >Issue 3: 338 - 342

DOI: https://doi.org/10.1007/s11460-008-0015-5

Blind source separation algorithm for communication complex signals in communication reconnaissance

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  • 1.State Key Laboratory of Integrated Service Networks, Xidian Univeristy; 2.National Laboratory of Information Control Technology for Communication System, Jiangnan Electronic Communications Research Institute;

Published date: 05 Sep 2008

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Abstract

Most blind source separation algorithms are only applicable to real signals, while in communication reconnaissance processed signals are complex. To solve this problem, a blind source separation algorithm for communication complex signals is deduced, which is obtained by adopting the Kullback-Leibler divergence to measure the signals’ independence. On the other hand, the performance of natural gradient is better than that of stochastic gradient, thus the natural gradient of the cost function is used to optimize the algorithm. According to the conclusion that the signal’s mixing matrix after whitening is orthogonal, we deduce the iterative algorithm by constraining the separating matrix to an orthogonal matrix. Simulation results show that this algorithm can efficiently separate the source signals even in noise circumstances.

Cite this article

FU Weihong, LIU Nai'an, ZENG Xingwen, YANG Xiaoniu . Blind source separation algorithm for communication complex signals in communication reconnaissance[J]. Frontiers of Electrical and Electronic Engineering, 2008 , 3(3) : 338 -342 . DOI: 10.1007/s11460-008-0015-5

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