Abstract
A review of linear time-varying optimal filtering is undertaken. It is divided into 3 parts:
(i) Early theories
(ii)Least-squares algorithms
(iii)Recent developments.
The least-squares algorithms encompass Recursive Least Squares (RLS) algorithms, Kalman algorithm and RLMS algorithms. Kailath [17] presented an overview of linear filtering. Since 1974, several developments have taken place which are reviewed here. Discussions are focussed on time-varying systems.
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