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发布时间：2019-03-11

论文类型：会议论文

发表时间：2012-11-09

收录刊物：Scopus、SCIE、CPCI-S、EI

页面范围：1052-1056

关键字：time difference of arrival estimation; fractional lower-order statistics; cyclostationarity; impulsive noise

摘要：By exploiting cyclostationarity of received signals at certain cycle frequency, i.e., evaluating the cyclic correlation or cyclic spectrum of the received signals at certain cycle frequency, the signal-selective time-difference-of-arrival (TDOA) estimation algorithms which based on cyclic statistics are highly tolerant to the interference and Gaussian noise. However, conventional cyclostationary TDOA methods based on the second-order cyclic correlation function or cyclic spectrum will degenerate severely in impulsive noise. In this paper, a new time delay estimation algorithm based on the fractional lower-order statistics (FLOS) and cyclostationarity is proposed for communications signals under non-Gaussian alpha stable distribution impulsive noise. Simulation results show that the proposed method is efficient and stable, and it outperforms the cyclostationarity based multi-cycle and FLOS based methods under impulsive noise and interference.