Detection for MIMO systems with imprecise channel knowledge

Yunnan Wu, Sun-Yuan Kung

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

1 Scopus citations

Abstract

In this work, we investigate the signal detection for MIMO systems with imprecise channel knowledge. The optimal detector is one which best matches the "total" observation matrix and a "total" signal matrix which has a finite alphabet constraint and a Sylvester structure constraint. An iterative local optimization with interference cancellation (LOIC) algorithm is proposed to achieve low complexity and exploit the finite alphabet constraint. Simulation results show that our proposed algorithms can detect the signals with BER close to the case of perfect channel knowledge, if a rough channel estimate is available initially.

Original languageEnglish (US)
Title of host publicationProceedings - 2003 International Conference on Multimedia and Expo, ICME
PublisherIEEE Computer Society
PagesII601-II604
ISBN (Electronic)0780379659
DOIs
StatePublished - Jan 1 2003
Event2003 International Conference on Multimedia and Expo, ICME 2003 - Baltimore, United States
Duration: Jul 6 2003Jul 9 2003

Publication series

NameProceedings - IEEE International Conference on Multimedia and Expo
Volume2
ISSN (Print)1945-7871
ISSN (Electronic)1945-788X

Other

Other2003 International Conference on Multimedia and Expo, ICME 2003
CountryUnited States
CityBaltimore
Period7/6/037/9/03

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Computer Science Applications

Fingerprint Dive into the research topics of 'Detection for MIMO systems with imprecise channel knowledge'. Together they form a unique fingerprint.

  • Cite this

    Wu, Y., & Kung, S-Y. (2003). Detection for MIMO systems with imprecise channel knowledge. In Proceedings - 2003 International Conference on Multimedia and Expo, ICME (pp. II601-II604). [1221688] (Proceedings - IEEE International Conference on Multimedia and Expo; Vol. 2). IEEE Computer Society. https://doi.org/10.1109/ICME.2003.1221688