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Fair and Andrews's weighting-based IRWLS algorithms for time-delay estimation in underwater target tracking

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2 Author(s)
El-Hawary, F. ; Tech. Univ. of Nova Scotia, Halifax, NS, Canada ; Mbamalu, G.A.N.

Underwater target tracking relies on a model relating the target states to time-delay and bearing measurements. This furnishes linearized measurement models. Problems arise due to fitting models using the least-squares procedure, whose success may depend on the assumption that the data noise distribution is Gaussian. For many cases of non-Gaussian errors, performance of the least-squares estimators is far from optimal. Robust regression procedures have been proposed to improve the performance of the least-squares procedures for non-Gaussian errors, and to enhance their performance for the Gaussian errors. Filters for time-delay estimation based on the Fair and Andrews's weighting functions of the iteratively reweighted least-squares method are proposed. Computational results are given to illustrate and compare the performances of the two filters as well as that due to ordinary least-squares filters

Published in:

Oceanic Engineering, IEEE Journal of  (Volume:18 ,  Issue: 2 )