A new adaptive time delay estimation using fourth-order cumulants based on polarity iterative
Wang Hongzhi, Xu Peixin, Bi Aiqi · 2014
In order to shorten the computation time of high order statistics and improve the efficiency of LMS algorithms in suppressing the Gaussian noise, here we proposed a new fast algorithm in which the different arrival time of the linear non-Gaussian signal between two spatially separated sensors are estimated. It is assumed that the signals are corrupted by the unknown cross correlated Gaussian noises. With a polarity iterative algorithm, the computational complexity of cumulant is reduced. The simulation results show that the method works well under low SNR condition.