点击次数：

论文类型： 期刊论文

发表时间： 2018-05-01

发表刊物： DIGITAL SIGNAL PROCESSING

收录刊物： SCIE、EI

卷号： 76

页面范围： 94-105

ISSN号： 1051-2004

关键字： Cyclostationarity; Time difference of arrival (TDOA); alpha-Stable distribution; Fractional lower-order statistics

摘要： In this study, we introduce two new robust signal-selective algorithms based on the fractional lower order cyclostationarity in order to address the problem of estimating time difference of arrival (TDOA) for cyclostationary signals in the presence of interference and alpha-stable distribution impulsive noise. Conventional signal-selective and fractional lower-order statistics (FLOS) based TDOA methods suffer performance degradation in the presence of non-Gaussian alpha-stable impulsive noise and corruptive interfering signals. By exploiting fractional lower-order cyclostationarity, we are able to develop a novel multi-cycle method and a generalized fractional lower-order spectral coherence method. The proposed methods restrain the effects of alpha-stable impulsive noise and make better use of the cyclostationarity property of cyclostationary signals. Simulation results indicate that the new methods are highly tolerant to interference and impulsive noise, and provide higher estimation accuracy than conventional algorithms. (C) 2018 Elsevier Inc. All rights reserved.