Fast channel estimation using maximum-length shift-register sequences Online publication date: Fri, 07-May-2010
by Songnan Xi, Hsiao-Chun Wu, Tho Le-Ngoc, Arjan Durresi
International Journal of Wireless and Mobile Computing (IJWMC), Vol. 4, No. 2, 2010
Abstract: Least-square channel estimation techniques usually involve the large-dimensional matrix inversion, whose heavy computational complexity cannot be extendable for long channel filters. Maximum-Length Shift-Register (MLSR) sequences, or m-sequences, possess the well controlled second–order cyclic statistics and have been used as the training sequences for least-square channel estimators. In this paper, we analyse the statistical characteristics of m-sequences and design a corresponding highly computationally-efficient channel estimation algorithm. Two crucial measures, namely mean-square error and computational complexity, are evaluated thereupon. It can be justified that our proposed algorithm can achieve both efficiency and satisfactory performance for communication channel estimation.
Online publication date: Fri, 07-May-2010
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