Fast channel estimation using maximum-length shift-register sequences
Document Type
Article
Publication Date
1-1-2010
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. © 2010 Inderscience Enterprises Ltd.
Publication Source (Journal or Book title)
International Journal of Wireless and Mobile Computing
First Page
148
Last Page
152
Recommended Citation
Xi, S., Wu, H., Le-Ngoc, T., & Durresi, A. (2010). Fast channel estimation using maximum-length shift-register sequences. International Journal of Wireless and Mobile Computing, 4 (2), 148-152. https://doi.org/10.1504/IJWMC.2010.033061