Performance analysis on maximum likelihood detection for two input multiple output systems

Wei Peng, Shaodan Ma, Tung Sang Ng, Jiangzhou Wang, Fumiyuki Adachi

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

1 Citation (Scopus)

Abstract

This paper addresses the problem of performance analysis for maximum likelihood (ML) detection in two-input multiple-output multiplexing systems. A novel analytical method is presented to formulate the symbol error probability (SEP). Based on the total probability theory, the SEPs of the two transmitted signals are obtained in closed-form by solving the SEP equations. Both equal and unequal power allocations are investigated. The accuracy of the proposed method is verified by Monte-Carlo simulations. The proposed method can also be extended to systems with more than two inputs.

Original languageEnglish
Title of host publicationThe 68th IEEE Vehicular Technology Conference, VTC 2008-Fall
DOIs
Publication statusPublished - 2008 Dec 1
Event68th Semi-Annual IEEE Vehicular Technology, VTC 2008-Fall, Conference - Calgary, AB, Canada
Duration: 2008 Sep 212008 Sep 24

Publication series

NameIEEE Vehicular Technology Conference
ISSN (Print)1550-2252

Other

Other68th Semi-Annual IEEE Vehicular Technology, VTC 2008-Fall, Conference
CountryCanada
CityCalgary, AB
Period08/9/2108/9/24

Keywords

  • MIMO multiplexing
  • Maximum likelihood
  • Symbol error probability

ASJC Scopus subject areas

  • Computer Science Applications
  • Electrical and Electronic Engineering
  • Applied Mathematics

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