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Detection with particle filtering in BLAST systems

Research output: Contribution to journalConference articlepeer-review

7 Scopus citations

Abstract

This work demonstrates the use of particle filtering for detection in BLAST systems. A novel dynamic state-space model (DSSM) is constructed for BLAST systems that is crucial for development of particle filtering algorithms. The proposed DSSM is based on QR decomposition and the output of the feed-forward filter, and it evolves in space. The particle filtering solution does not suffer from error propagation, and our simulations show that it greatly outperforms the V-BLAST and provides near optimum performance.

Original languageEnglish
Pages (from-to)2306-2310
Number of pages5
JournalConference Record - International Conference on Communications
Volume4
StatePublished - 2003
Event2003 International Conference on Communications (ICC 2003) - Anchorage, AK, United States
Duration: May 11 2003May 15 2003

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