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| A New Method of Adaptive Time Delay Estimation in Impulsive Noise Environments |
| Sun Yong-mei; Qiu Tian-shuang |
| Dept. of Electronic Engineering of Dalian University of Technology Dalian 116024 China |
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Abstract 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 stationaiy 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.
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Received: 17 December 2003
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2005, Vol. 27 
