Wan Jian, Li Ming, Zhu Zhong-liang. Blind Separation of Satellite Signals Based on the Maximum Entropy[J]. Journal of Electronics & Information Technology, 2006, 28(12): 2256-2258.
Citation:
Wan Jian, Li Ming, Zhu Zhong-liang. Blind Separation of Satellite Signals Based on the Maximum Entropy[J]. Journal of Electronics & Information Technology, 2006, 28(12): 2256-2258.
Wan Jian, Li Ming, Zhu Zhong-liang. Blind Separation of Satellite Signals Based on the Maximum Entropy[J]. Journal of Electronics & Information Technology, 2006, 28(12): 2256-2258.
Citation:
Wan Jian, Li Ming, Zhu Zhong-liang. Blind Separation of Satellite Signals Based on the Maximum Entropy[J]. Journal of Electronics & Information Technology, 2006, 28(12): 2256-2258.
The problem that this paper discusses is how to separate the origin signals from the mixed satellite signals. The traditional method to solve the kind of problem adopts the algorithm of blind convolution which needs much account to adjust the all pathway parameters. However using the characteristic of satellite channel this paper put forwards the blind separation algorithm based on maximum entropy which can deduce the calculation too much.The results of simulations testify the validity .
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