Natural Gradient Blind Equalization Algorithm Based on Blind Signal Separation
- Received Date: 2006-06-01
- Rev Recd Date: 2006-10-23
- Publish Date: 2008-04-15
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Key words:
- blind equalization /
- blind signal separation /
- clustering
Abstract: Where the approximate processing leads error problems. In this paper, a new natural gradient blind equalization algorithm based on BSS is proposed. The underlying prior knowledge of source signals constellation is made full use of and a multi-stage clustering method is adopted to solve multi-peak problem in the new algorithm. Simulation results show that the new algorithm has higher accuracy than those only based on BBS and has higher convergence speed and less inter-symbol interference.
Citation: | WANG Jie. Natural Gradient Blind Equalization Algorithm Based on Blind Signal Separation[J]. Journal of University of Electronic Science and Technology of China, 2008, 37(2): 181-183. |