A robust signal selective TDOA estimation algorithm for cyclostationary signals

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.