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A MUSIC Algorithm Based on the Fractional Lower Order Cyclic Correlation in Impulsive Noise Environment |
Wu Hua-jia①; Zhao Xiao-ou①; Qiu Tian-shuang①; Zha Dai-feng② |
①School of Electronic and Information Engineering, Dalian University of Technology, Dalian 116024, China; ②School of Electronic Engineering, Jiujiang University, Jiujiang 332005, China |
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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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Received: 30 July 2008
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Corresponding Authors:
Qiu Tian-shuang
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