Blind Detection of Satellite Communication Signals Based on Spectrum Preprocessing

Peng Geng; Huang Zhi-tao; Wang Feng-hua; Jiang Wen-li

doi:10.3724/SP.J.1146.2008.01041

Volume 31 Issue 12

Dec. 2010

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Article Navigation > Journal of Electronics & Information Technology > 2009 > 31(12): 2843-2847

Peng Geng, Huang Zhi-tao, Wang Feng-hua, Jiang Wen-li. Blind Detection of Satellite Communication Signals Based on Spectrum Preprocessing[J]. Journal of Electronics & Information Technology, 2009, 31(12): 2843-2847. doi: 10.3724/SP.J.1146.2008.01041

Citation:

Peng Geng, Huang Zhi-tao, Wang Feng-hua, Jiang Wen-li. Blind Detection of Satellite Communication Signals Based on Spectrum Preprocessing[J]. Journal of Electronics & Information Technology, 2009, 31(12): 2843-2847. doi: 10.3724/SP.J.1146.2008.01041

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Blind Detection of Satellite Communication Signals Based on Spectrum Preprocessing

doi: 10.3724/SP.J.1146.2008.01041

Received Date: 2008-08-27
Rev Recd Date: 2009-09-21
Publish Date: 2009-12-19

Abstract

Abstract

Traditional power spectrum detector is based on the assumption that mean and variance of background noise spectrum do not vary with frequency. However, actual noise spectrums generally do not meet the hypothesis in non-cooperative satellite communication environment, so the detector performance is restricted. In this problem, received signals are preprocessed by sliding widow least square to make noise spectrums satisfy the presumption. Consequently, a blind detection algorithm of satellite communication signals is presented, and improving factor of detection performance relative to power spectrum detector is also deduced. Simulation results indicate that under same conditions, the algorithm generally has better performance than power spectrum detector, which is a classical traditional blind detection method. The proposed algorithm is also easy to implement with low computation complexity.

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References

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