Adaptive blind multiuser equalizer based on PDF matching

A. Daas, M. Hadef, S. Weiss

Research output: Contribution to conferencePaper

4 Citations (Scopus)

Abstract

In this paper, we propose a new adaptive technique for blind multiuser equalisation. The proposed approach is based on fitting the probability density function (pdf) of the equalizer output to the desired pdf of the corresponding symbol alphabet. The underlying pdf at the equalizer output is estimated by means of the Parzen Window method. A switch between blind and Decision Directed adaptation is possible by manipulating the kernal size of the Parzen Window Estimator. The cost function of the proposed technique can be measured by a stochastic gradient descent approach. The performance of the proposed adaptation strategy is assessed by a number of simulations, and benchmarked against Firmer-CMA under QPSK modulation.

Original languageEnglish
Pages213-216
Number of pages3
DOIs
Publication statusPublished - May 2009
EventInternational Conference on Telecommunications -
Duration: 1 Jan 1900 → …

Conference

ConferenceInternational Conference on Telecommunications
Period1/01/00 → …

Keywords

  • blind equalization
  • probability density function
  • parzen window estimation ,
  • PDF matching
  • firmer-cma

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