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Joint spatial and temporal channel-shortening techniques for frequency selective fading MIMO channels

Toker, C, Lambotharan, S, Chambers, JA and Baykal, B (2005) Joint spatial and temporal channel-shortening techniques for frequency selective fading MIMO channels IEE Proceedings: Communications, 152 (1). pp. 89-94.

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Abstract

It is well understood that the maximum likelihood estimator is a powerful equalisation technique for frequency selective fading channels, and in particular for MIMO systems. The complexity of this estimator, however, grows exponentially with the number of users and multipath taps, hence limiting the use of this algorithm in MIMO systems. In the paper, the authors propose a joint spatial and temporal channel-shortening filter as a pre-processor to reduce significantly the complexity of a maximum likelihood estimator. Their design is based on both minimum mean square error and maximum signal-to-noise ratio criteria. They compare the performance of their proposed schemes with the existing methods that employ channel-shortening techniques only in the spatial or temporal dimension, and thereby demonstrate the advantage of using joint spatial and temporal channel shortening in terms of complexity and bit error rate performance. © IEE, 2005.

Item Type: Article
Authors :
NameEmailORCID
Toker, CUNSPECIFIEDUNSPECIFIED
Lambotharan, SUNSPECIFIEDUNSPECIFIED
Chambers, JAj.a.chambers@surrey.ac.ukUNSPECIFIED
Baykal, BUNSPECIFIEDUNSPECIFIED
Date : 1 February 2005
Identification Number : https://doi.org/10.1049/ip-com:20040965
Depositing User : Symplectic Elements
Date Deposited : 17 May 2017 13:27
Last Modified : 17 May 2017 13:27
URI: http://epubs.surrey.ac.uk/id/eprint/839249

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