Open Access

MAP Channel-Estimation-Based PIC Receiver for Downlink MC-CDMA Systems

  • Hakan Doğan1Email author,
  • Erdal Panayırcı2,
  • Hakan A. Çırpan1 and
  • Bernard H. Fleury3, 4
EURASIP Journal on Wireless Communications and Networking20072008:570624

Received: 15 May 2007

Accepted: 2 October 2007

Published: 31 October 2007


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 multicarrier (MC) code division multiple access (CDMA) systems in the presence of frequency selective channels. The quality of multiple access interference (MAI), which can be improved by using channel estimation and data estimation of all active users, affects considerably the performance of PIC detector. Therefore, data and channel estimation performance obtained in the initial stage has a significant relationship with the performance of PIC. So obviously it is necessary to make excellent joint data and channel estimation for initialization of PIC detector. The EM algorithm derived estimates the complex channel parameters of each subcarrier 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 is 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.

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Authors’ Affiliations

Department of Electrical and Electronics Engineering, Istanbul University
Department of Electronics Enginering, Kadir Has University
Section Navigation and Communications, Department of Electronic Systems, Aalborg University
The Telecommunications Research Center


© Hakan Doğan et al. 2008

This article is published under license to BioMed Central Ltd. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.