Least Squares Adaptive Algorithms Suitable for Multiplierless LMMSE Detection in 3rd Generation Mobile Systems

Litchfield, C. and Langley, Richard J. and Lee, Peter and Batchelor, John C. (2005) Least Squares Adaptive Algorithms Suitable for Multiplierless LMMSE Detection in 3rd Generation Mobile Systems. In: Personal, Indoor and Mobile Radio Communications, 2005. PIMRC 2005. IEEE 16th International Symposium on. pp. 1039-1044. ISBN 9783800729098. (The full text of this publication is not available from this repository)

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Official URL
http://dx.doi.org/10.1109/PIMRC.2005.1651599

Abstract

This paper presents an evaluation of a simple adaptive FIR filter structure using a hybrid-logarithmic number system (H-LNS) to minimize the complexity of a decentralized LMMSE receiver in the WCDMA downlink. Non-linear arithmetic operations can be executed efficiently with the H-LNS architecture without the necessity of fixed or floating point array multiplications. The use of signed-LMS adaptive algorithms are included in this study since this significantly reduces the number of MAC operations required for conversion to and from the logarithmic domain. The multiplierless receiver has been simulated in Matlabreg for the WCDMA-FDD downlink with macrodiversity, where the mantissa for each fractional logarithmic number was limited to 4,6 and 8 binary address bits. The results indicate that the hybrid-logarithmic signed-LMS implementations are practical for slow fading channels, where the use of log-antilog conversion with small look up tables is feasible with only minimal reduction in the signal to noise ratio

Item Type: Conference or workshop item (Paper)
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK5101 Telecommunications
Divisions: Faculties > Science Technology and Medical Studies > School of Engineering and Digital Arts > Broadband & Wireless Communications
Depositing User: Yiqing Liang
Date Deposited: 15 Aug 2009 17:55
Last Modified: 08 May 2014 13:19
Resource URI: http://kar.kent.ac.uk/id/eprint/8906 (The current URI for this page, for reference purposes)
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