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Driving innovations in manufacturing: Open Access research from DMEM

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Centred on the vision of 'Delivering Total Engineering', DMEM is a centre for excellence in the processes, systems and technologies needed to support and enable engineering from concept to remanufacture. From user-centred design to sustainable design, from manufacturing operations to remanufacturing, from advanced materials research to systems engineering.

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A low complexity subband adaptive equaliser for broadband MIMO channels

Bale, V. and Weiss, S. (2004) A low complexity subband adaptive equaliser for broadband MIMO channels. In: International Workshop on Spectral Methods and Multirate Signal Processing, 2004-09-11 - 2004-09-12.

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Abstract

This paper addresses trained adaptation of broadband multiple-input multiple-output (MIMO) equalisers operating in severely time-dispersive environments which result in slow convergence and poor performance for least mean squares (LMS) type algorithms. We present a subband approach, which enhances a normalised LMS (NLMS) convergence by prewhitening of the input signals and reduces its computational complexity. Equalisation based on the recursive least squares (RLS) algorithm in the time domain is prohibitive due to its high complexity, which can be drastically reduced by the subband approach to an extend such that the overall RLS cost for convergence may be much lower than the subband NLMS. The performance of the various systems is compared in simulations.