Optimum equalization of multicarrier systems via projection onto convex set

Navid Lashkarian, Sayfe Kiaei

Research output: Chapter in Book/Report/Conference proceedingConference contribution

5 Scopus citations


This paper presents a new, iterative equalization algorithm that maximizes capacity for discrete multitone (DMT) systems. The research modifies a previously proposed criterion and applies an appropriate transformation to map the constraint set into a proper region. The resulting constraint set exhibits an identifiable geometric characteristic, which provides an efficient method for obtaining the optimal solution. Using the gradient projection method in conjunction with projection onto convex sets (POCS) provides us with an iterative search algorithm which facilitates the search direction. We also generalize the approach to two important subclasses of equalizers, namely linear phase and unit tap filters. An fundamental limit on the performance of the approach is also derived. In comparison with the previous methods, the proposed equalization algorithm is less computationally complex, more robust, and geometrically intuitive. Simulation experiments confirm the validity of the proposed method for practical purposes.

Original languageEnglish (US)
Title of host publicationIEEE International Conference on Communications
PublisherInstitute of Electrical and Electronics Engineers Inc.
Number of pages5
ISBN (Electronic)078035284X
StatePublished - Jan 1 1999
Externally publishedYes
Event1999 IEEE International Conference on Communications, ICC 1999 - Vancouver, Canada
Duration: Jun 6 1999Jun 10 1999


Other1999 IEEE International Conference on Communications, ICC 1999

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Electrical and Electronic Engineering


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