Title of Paper:A Robust Signal Selective TDOA Estimation Algorithm for Cyclostationary Signals

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Date of Publication:2012-11-09

Included Journals:EI、CPCI-S、SCIE、Scopus

Page Number:1052-1056

Key Words:time difference of arrival estimation; fractional lower-order statistics; cyclostationarity; impulsive noise

Abstract: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.