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

fYear

2006

fDate

23-25 Oct. 2006

Firstpage

1

Lastpage

7

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;

fLanguage

English

Publisher

ieee

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

Type

conf

DOI

10.1109/MILCOM.2006.302497

Filename

4086389