|
|
|
Blind source separation algorithm for communication
complex signals in communication reconnaissance |
| FU Weihong1, LIU Nai'an1, ZENG Xingwen1, YANG Xiaoniu2 |
| 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; |
|
|
|
|
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.
|
|
Issue Date: 05 September 2008
|
|
| 1 |
Xu Shimin Chen Pengju Separation method of communicationsignals with overlap frequencyAerospaceElectronic Warfare 2004 (5)5355(in Chinese)
|
| 2 |
Xu Shimin Research on the application of blind source separation in the communicationreconnaissance system of wide IF bandElectronicWarfare Technology 2005 20(4)121418(inChinese)
|
| 3 |
Fu Weihong Yang Xiaoniu Liu Nai'an et al.Communication signal blind reconnaissance technologybased on probability density estimation blind sources separationJournal of Huazhong University of Science and Technology(Nature Science) 2006 34(10)2427(in Chinese)
|
| 4 |
Hyvarinen A Karhunen J Oja E Independent Component AnalysisNew YorkJohn Wiley & Sons 2001 209212
|
| 5 |
Cichocki A Amari S Adaptive blind signal and imageprocessingNew YorkJohn Wiley& Sons 2002
|
| 6 |
Cardoso J F Laheld B H Equivariant adaptive sourceseparationIEEE Transactions on Signal Processing 1996 44(12)30173030.
doi:10.1109/78.553476
|
| 7 |
Amari S Chen T P Cichocki A Stability analysis of learning algorithms for blind sourceseparationNeural Networks 1997 10(9)13451351.
doi:10.1016/S0893‐6080(97)00039‐7
|
| 8 |
Yang Xiaoniu Lou Caiyi Xu Jianliang Principle and Application of Software RadioBeijingPublishing House of ElectronicsIndustry 2001
|
|
Viewed |
|
|
|
Full text
|
|
|
|
|
Abstract
|
|
|
|
|
Cited |
|
|
|
|
| |
Shared |
|
|
|
|
| |
Discussed |
|
|
|
|
