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A sequential algorithm for robust parameter estimation

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2 Author(s)
Duc Son Pham ; Commun. & Signal Process. Group, Curtin Univ. of Technol., Perth, WA, Australia ; Zoubir, A.M.

A sequential M-estimation algorithm is proposed as an alternative to sequential least squares (LS). Being an approximation to exact M-estimation, the proposed technique is robust to non-Gaussian noise and outperforms sequential LS. A low-cost technique is introduced for initialization. We also show that sequential LS is a special case of the proposed algorithm.

Published in:

Signal Processing Letters, IEEE  (Volume:12 ,  Issue: 1 )