Mixed-norm adaptive algorithm for Gaussian 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 noise. The non-linear 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 (MSB) 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 0.0005. Finally it is demonstrated that non-linear receivers adapted by the proposed algorithm will have faster convergence rate and similar BER performance, in comparison with the NLMS adaptive receiver.

Original languageBritish English
Title of host publicationProceedings of the Fourth IASTED International Conference on Communications, Internet, and Information Technology, CIIT 2005
EditorsM.H. Hamza
Pages314-318
Number of pages5
StatePublished - 2005
EventFourth IASTED International Conference on Communications, Internet, and Information Technology, CIIT 2005 - Cambridge, MA, United States
Duration: 31 Oct 20052 Nov 2005

Publication series

NameProceedings of the Fourth IASTED International Conference on Communications, Internet, and Information Technology, CIIT 2005

Conference

ConferenceFourth IASTED International Conference on Communications, Internet, and Information Technology, CIIT 2005
Country/TerritoryUnited States
CityCambridge, MA
Period31/10/052/11/05

Keywords

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

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