Joint channel estimation and data detection for MIMO systems: a SAGE-based approach

  • Authors:
  • The-Hanh Pham;A. Nallanathan;Y.-C. Liang

  • Affiliations:
  • National University of Singapore, Singapore;National University of Singapore, Singapore;Institute for Infocomm Research, Singapore

  • Venue:
  • MILCOM'06 Proceedings of the 2006 IEEE conference on Military communications
  • Year:
  • 2006

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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.