Joint Channel Estimation and Data Detection for SIMO Systems: An EM-Based Approach

[No Value] The-Hanh Pham, A. Nallanathan, Y. -C. Liang, Arumugam Nallanathan

Research output: Chapter in Book/Report/Conference proceedingConference paperpeer-review

Abstract

The single-input multi-output (SIMO) channel model is widely used in data transmission and diversity receptions. In this paper, we present three computationally efficient iterative receivers for joint channel estimation and data detection in SIMO systems. These receivers result from an application of the expectation-maximization (EM) and the space-alternating generalized expectation-maximization (SAGE) algorithms. Bit error rate (BER) performance of the Maximum Likelihood (ML) receivers with perfect channel state information (CSI) is plotted and compared with the BER performance of the proposed iterative receivers. Proposed receivers exhibit near ML performance with a few iterations.

Original languageEnglish
Title of host publication2006 IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS, VOLS 1-12
Place of PublicationNEW YORK
PublisherIEEE
Pages4285-4290
Number of pages6
Publication statusPublished - 2006
EventIEEE International Conference on Communications (ICC 2006) - Istanbul, Turkey
Duration: 11 Jun 200615 Jun 2006

Publication series

NameIEEE International Conference on Communications
PublisherIEEE
ISSN (Print)1550-3607

Conference

ConferenceIEEE International Conference on Communications (ICC 2006)
Country/TerritoryTurkey
Period11/06/200615/06/2006

Keywords

  • ALGORITHM
  • SIGNALS

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