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Prevoting Cancellation-Based Detection for Underdetermined MIMO Systems

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Abstract

Various detection methods including the maximum likelihood (ML) detection have been studied for multiple-input multiple-output (MIMO) systems. While it is usually assumed that the number of independent data symbols, , to be transmitted by multiple antennas simultaneously is smaller than or equal to that of the receive antennas, , in most cases, there could be cases where , which results in underdetermined MIMO systems. In this paper, we employ the prevoting cancellation based detection for underdetermined MIMO systems and show that the proposed detectors can exploit a full receive diversity. Furthermore, the prevoting vector selection criteria for the proposed detectors are taken into account to improve performance further. We also show that our proposed scheme has a lower computational complexity compared to existing approaches, in particular when slow fading MIMO channels are considered.

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Correspondence to Chen Chen.

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Bai, L., Chen, C. & Choi, J. Prevoting Cancellation-Based Detection for Underdetermined MIMO Systems. J Wireless Com Network 2010, 932904 (2010) doi:10.1155/2010/932904

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Keywords

  • Information System
  • System Application
  • MIMO System
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