A MUSIC Algorithm Based on the Fractional Lower Order Cyclic Correlation in Impulsive Noise Environment

Wu Hua-jia; Zhao Xiao-ou; Qiu Tian-shuang; Zha Dai-feng

doi:10.3724/SP.J.1146.2008.00961

Volume 31 Issue 9

Dec. 2010

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Article Navigation > Journal of Electronics & Information Technology > 2009 > 31(9): 2269-2273

Wu Hua-jia, Zhao Xiao-ou, Qiu Tian-shuang, Zha Dai-feng. A MUSIC Algorithm Based on the Fractional Lower Order Cyclic Correlation in Impulsive Noise Environment[J]. Journal of Electronics & Information Technology, 2009, 31(9): 2269-2273. doi: 10.3724/SP.J.1146.2008.00961

Citation:

Wu Hua-jia, Zhao Xiao-ou, Qiu Tian-shuang, Zha Dai-feng. A MUSIC Algorithm Based on the Fractional Lower Order Cyclic Correlation in Impulsive Noise Environment[J]. Journal of Electronics & Information Technology, 2009, 31(9): 2269-2273. doi: 10.3724/SP.J.1146.2008.00961

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A MUSIC Algorithm Based on the Fractional Lower Order Cyclic Correlation in Impulsive Noise Environment

doi: 10.3724/SP.J.1146.2008.00961

Received Date: 2008-07-30
Rev Recd Date: 2009-05-11
Publish Date: 2009-09-19

Abstract

Abstract

This paper takes the -stable distribution as the noise model and works on the Direction of Arrival (DOA) estimation problem of the cyclostationary signals in the impulsive-noise environment. Since the conventional algorithms based on the classical second order cyclic statistics degenerate severely in the impulsive-noise environment, this paper adopts the fractional lower order cyclic correlation and presents a new algorithm called fractional lower order cyclic MUSIC(FLOCC-MUSIC). It combines the fractional lower order cyclic correlation and MUSIC algorithm, for suppressing the impulse noise and interference in the same frequency band. Simulation results show that the proposed algorithm can give accurate DOA estimation under both Gaussian and impulsive-noise conditions, and its performance is superior to the Cyclic-MUSIC based on second order cyclic correlation.

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References(1)

References

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