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论文类型： 期刊论文

发表时间： 2020-05-01

发表刊物： IEEE COMMUNICATIONS LETTERS

收录刊物： SCIE

卷号： 24

期号： 5

页面范围： 1015-1019

ISSN号： 1089-7798

关键字： Kernel; Signal processing algorithms; Correlation; Direction-of-arrival estimation; Random variables; Estimation; Multiple signal classification; Alpha-stable distribution; distributed sources; complex cyclic correntropy; kernel function; DOA estimation

摘要： Impulsive noise degrades the performance of direction-of-arrival (DOA) estimation methods since the optimization for subspace-like techniques relies on an assumption of Gaussianity. By extending the benefit of cyclic correntropy to the complex field, this letter defines complex cyclic correntropy and deduces some important properties. To reduce the dependence on prior signal knowledge and improve the robustness, a novel kernel function is also derived based on the cumulative distribution function. For cyclostationary signals, an algorithm based on complex cyclic correntropy is proposed to estimate both the central DOA and angular spread for coherently distributed sources in impulsive noise environments. The simulation results verify that the proposed algorithm can achieve better performance than other algorithms in terms of impulsive noise suppression.