Please use this identifier to cite or link to this item: https://doi.org/10.1109/ICC.2006.255754
Title: Joint channel estimation and data detection for SIMO systems: An EM-based approach
Authors: Pham, T.-H. 
Nallanathan, A. 
Liang, Y.-C.
Issue Date: 2006
Source: Pham, T.-H.,Nallanathan, A.,Liang, Y.-C. (2006). Joint channel estimation and data detection for SIMO systems: An EM-based approach. IEEE International Conference on Communications 9 : 4285-4290. ScholarBank@NUS Repository. https://doi.org/10.1109/ICC.2006.255754
Abstract: The single-input multi-output (SIMO) channel model is widely used in data transmission and diversity receptions. In this paper, we present three computationally efficient iterative receivers for joint channel estimation and data detection in SIMO systems. These receivers result from an application of the expectation-maximization (EM) and the space-alternating generalized expectation-maximization (SAGE) algorithms. Bit error rate (BER) performance of the Maximum Likelihood (ML) receivers with perfect channel state information (CSI) is plotted and compared with the BER performance of the proposed iterative receivers. Proposed receivers exhibit near ML performance with a few iterations. © 2006 IEEE.
Source Title: IEEE International Conference on Communications
URI: http://scholarbank.nus.edu.sg/handle/10635/70735
ISBN: 1424403553
ISSN: 05361486
DOI: 10.1109/ICC.2006.255754
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