EM-based MAP channel estimation and data detection for downlink MC-CDMA systems

Hakan Doǧan*, Erdal Panayirci, Hakan A. Çirpan

*Corresponding author for this work

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

3 Citations (Scopus)

Abstract

In this work, we propose a joint MAP channel estimation and data detection technique based on the Expectation Maximization (EM) method with paralel interference cancelation(PIC) for downlink multi- carrier (MC) code division multiple access (CDMA) systems in the presence of frequency selective channels. The EM algorithm derived estimates the complex channel parameters of each subcarriers iteratively and generates the soft information representing the data a posterior probabilities. The soft information is then employed in a PIC module to detect the symbols efficiently. Moreover, the MAP-EM approach considers the channel variations as random processes and applies the Karhunen-Loeve (KL) orthogonal series expansion. The performance of the proposed approach are studied in terms of bit-error rate (BER) and mean square error (MSE). Throughout the simulations, extensive comparisons with previous works in literature are performed, showing that the new scheme can offer superior performance.

Original languageEnglish
Title of host publication2007 IEEE Wireless Communications and Networking Conference, WCNC 2007
Pages227-231
Number of pages5
DOIs
Publication statusPublished - 2007
Externally publishedYes
Event2007 IEEE Wireless Communications and Networking Conference, WCNC 2007 - Kowloon, China
Duration: 11 Mar 200715 Mar 2007

Publication series

NameIEEE Wireless Communications and Networking Conference, WCNC
ISSN (Print)1525-3511

Conference

Conference2007 IEEE Wireless Communications and Networking Conference, WCNC 2007
Country/TerritoryChina
CityKowloon
Period11/03/0715/03/07

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