A New Method of Adaptive Time Delay Estimation in Impulsive Noise Environments
脉冲噪声环境下的自适应时间延迟估计新方法

The Adaptive Fractional Lower order Covariance (AFLC) time delay estimation method performs robust under impulsive noise environments, but the values of parameters a and b have effects on estimated precision. According to the non-stationary property of noises, this paper proposes a dynamic parameter estimation method and further proposes a Modified Adaptive Fractional Lower order Covariance (M-AFLC) method. Computer simulation indicates that the iterative parameter estimation method performs well under both stationary and non-stationary noise conditions. It also shows that the M-AFLC maintains the merits of the AFLC, and at the same time the proposed method avoids the degradation of AFLC while the restriction unsatisfied.