Please use this identifier to cite or link to this item: https://doi.org/10.1109/MILCOM.2006.302497
Title: Joint channel estimation and data detection for MIMO systems: A SAGE-based approach
Authors: Pham, T.-H. 
Nallanathan, A. 
Liang, Y.-C.
Issue Date: 2007
Source: Pham, T.-H.,Nallanathan, A.,Liang, Y.-C. (2007). Joint channel estimation and data detection for MIMO systems: A SAGE-based approach. Proceedings - IEEE Military Communications Conference MILCOM : -. ScholarBank@NUS Repository. https://doi.org/10.1109/MILCOM.2006.302497
Abstract: The multi-input multi-output channel model has been widely considered for next genera lion multimedia wireless communication systems. Tn this paper, we consider the problem of joint channel estimation and data detection for MLMO systems under quasi-static channels with known and unknown spatially correlated noise. We propose two computationally efficient iterative receivers based on 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 simulated and compared with the BER performance of the proposed iterative receivers. The results show that the proposed receivers exhibit near ML performance with a few iterations.
Source Title: Proceedings - IEEE Military Communications Conference MILCOM
URI: http://scholarbank.nus.edu.sg/handle/10635/70732
ISBN: 1424406188
DOI: 10.1109/MILCOM.2006.302497
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