Title :
Joint Channel Estimation and Data Detection for MIMO Systems: A SAGE-Based Approach
Author :
Pham, The-Hanh ; Nallanathan, A. ; Liang, Y.-C.
Author_Institution :
Nat. Univ. of Singapore
Abstract :
The multi-input multi-output channel model has been widely considered for next generation multimedia wireless communication systems. In this paper, we consider the problem of joint channel estimation and data detection for MIMO 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
Keywords :
MIMO communication; channel estimation; error statistics; expectation-maximisation algorithm; radio receivers; MIMO system; SAGE algorithm; bit error rate; channel state information; data detection; iterative receiver; joint channel estimation; maximum likelihood receiver; multiinput multioutput channel model; quasistatic channel; space-alternating generalized expectation-maximization; spatially correlated noise; Bit error rate; Channel estimation; Channel state information; Iterative algorithms; MIMO; Maximum likelihood detection; Maximum likelihood estimation; Multimedia communication; Multimedia systems; Wireless communication;
Conference_Titel :
Military Communications Conference, 2006. MILCOM 2006. IEEE
Conference_Location :
Washington, DC
Print_ISBN :
1-4244-0617-X
Electronic_ISBN :
1-4244-0618-8
DOI :
10.1109/MILCOM.2006.302497
