Algorithm for Modulation Recognition Based on Characteristic Function in Impulsive Noise Environment

Li Peng; Chang Liang; Wang Fu-ping; Wang Zan-ji

doi:10.3724/SP.J.1146.2006.00490

Volume 29 Issue 11

Jan. 2011

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Li Peng, Chang Liang, Wang Fu-ping, Wang Zan-ji. Algorithm for Modulation Recognition Based on Characteristic Function in Impulsive Noise Environment[J]. Journal of Electronics & Information Technology, 2007, 29(11): 2649-2652. doi: 10.3724/SP.J.1146.2006.00490

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Li Peng, Chang Liang, Wang Fu-ping, Wang Zan-ji. Algorithm for Modulation Recognition Based on Characteristic Function in Impulsive Noise Environment[J]. Journal of Electronics & Information Technology, 2007, 29(11): 2649-2652. doi: 10.3724/SP.J.1146.2006.00490

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Algorithm for Modulation Recognition Based on Characteristic Function in Impulsive Noise Environment

doi: 10.3724/SP.J.1146.2006.00490

Received Date: 2006-04-17
Rev Recd Date: 2006-09-18
Publish Date: 2007-11-19

Abstract

Abstract

Wireless channel environment is influenced by Gauss noise and impulsive noise. A new algorithm is proposed based on Characteristic Function (CF) phase of received signal by analyzing the feature of SS impulsive noise. The classification vectors are composed of CF phase corresponding to different angle. The method of minimum mean squared distance is used to classify unknown modulation type. Theoretical analysis proves this algorithm is invariant to the presence of SS noise. Simulations show average successful rates are both more than 90% in impulsive noise and Gauss noise channel when SNR is above 8dB.

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References(1)

References

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