A model averaging approach for equalizing sparse communication channels
2004 (English)In: Conference Record of the Thirty-Eighth Asilomar Conference on Signals, Systems and Computers, 2004, IEEE , 2004, 677-681 p.Conference paper (Refereed)
In communication applications it is important for equalization to have a good estimate of the channel over which the signal was transferred. In this paper we introduce the concept of model averaging, where several channel estimates are used in a weighted manner, to sparse communication channel estimation and equalization for channels with intersymbol interference. We show via numerical examples that the bit-error-rate (BER) can be reduced by our suggested method, compared to the BERs obtained using channel estimation methods not assuming any sparsity of the channel.
Place, publisher, year, edition, pages
IEEE , 2004. 677-681 p.
National CategoryEngineering and Technology
IdentifiersURN: urn:nbn:se:liu:diva-77266DOI: 10.1109/ACSSC.2004.1399220ISBN: 0-7803-8622-1OAI: oai:DiVA.org:liu-77266DiVA: diva2:526018
Thirty-Eighth Asilomar Conference on Signals, Systems, and Computers, California, USA. November 7-10, 2004