Statistical learning and layered space-time architecture for point-to-point wireless communications

Mathini Sellathurai, Simon Haykin

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

3 Citations (Scopus)

Abstract

The BLAST architecture has been proposed for high-capacity and spectrally-efficient wireless communications in an indoor environment. The method relies on multi-transmit and receive antennas to send and receive information-bearing signals in parallel. The architecture assumes a rich independent-ray scattering mechanism to make the parallel information separable at the receiving ends. In practice, with the increased number of parallel sub-streams, the scattering may be less favorable so that signal decoding algorithms are needed. In this paper, we propose a statistical learning demodulating scheme for this task.

Original languageEnglish
Title of host publicationConference Record of the Asilomar Conference on Signals, Systems and Computers
PublisherIEEE
Pages1084-1088
Number of pages5
ISBN (Print)0780351487
DOIs
Publication statusPublished - 1998

Publication series

NameConference Record of the Asilomar Conference on Signals, Systems and Computers
PublisherIEEE
ISSN (Print)1058-6393

ASJC Scopus subject areas

  • Hardware and Architecture
  • Signal Processing
  • Electrical and Electronic Engineering

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