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Least mean mixed-norm adaptive filtering for impulsive DS-CDMA channels

Lookup NU author(s): Professor Bayan Sharif

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Abstract

This paper investigates the performance of using the least mean mixed-norm adaptive algorithm (LMMN) in the adaptation of a non-linear receiver, coupled with a second-order phase tracking subsystem, for asynchronous DS-CDMA communication system impaired by double-spread multipath channel and Gaussian mixture impulsive noise. The nonlinear receiver comprises feed-forward filter (FFF), feedback filter (FBF), and an equalizer/second order phase locked loop (PLL). The investigations study the effect of using various mixing parameter (λ) and step-size (μ) on the performance of the proposed algorithm in terms of the mean-square error (MSE) and the bit-error-rate (BER). Computer simulation results indicate that the proposed receiver algorithm with λ equals to 0.9 gives the best performance. Furthermore results show that the best value of the algorithm's step-size is 0.0001. Finally it is demonstrated that non-linear receivers adapted by the proposed algorithm will have raster convergence rate and better BER performance, in comparison with the NLMS adaptive receiver. ©2004 IEEE.


Publication metadata

Author(s): Jimaa SA, Jadah ME, Sharif BS

Publication type: Conference Proceedings (inc. Abstract)

Publication status: Published

Conference Name: 4th IEEE International Symposium on Signal Processing and Information Technology (ISSPIT 2004)

Year of Conference: 2004

Pages: 9-12

Publisher: IEEE

Library holdings: Search Newcastle University Library for this item

ISBN: 0780386892


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