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

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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.

Original languageBritish English
Title of host publicationProceedings of the Fourth IEEE International Symposium on Signal Processing and Information Technology
Pages9-12
Number of pages4
StatePublished - 2004
EventFourth IEEE International Symposium on Signal processing and Information Technology, ISSPIT 2004 - Rome, Italy
Duration: 18 Dec 200421 Dec 2004

Publication series

NameProceedings of the Fourth IEEE International Symposium on Signal Processing and Information Technology, ISSPIT 2004

Conference

ConferenceFourth IEEE International Symposium on Signal processing and Information Technology, ISSPIT 2004
Country/TerritoryItaly
CityRome
Period18/12/0421/12/04

Keywords

  • Adaptive algorithms
  • DS-CDMA
  • Signal processing for mobile communications

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