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Partial MAP-based lattice reduction-aided list MIMO detection

Partial MAP-based lattice reduction-aided list MIMO detection

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  • Author(s): Lin Bai 1 ; Chen Chen 2 ; Jinho Choi 3
    • View affiliations
    • Affiliations: 1: School of Electronic and Information Engineering, Beihang University, Beijing, People’s Republic of China
      2: School of Electronics Engineering and Computer Science, Peking University, Beijing, People’s Republic of China
      3: College of Engineering, Swansea University, Swansea, United Kingdom
  • Source: Volume 48, Issue 10, 10 May 2012, p. 598 – 600
    DOI:  10.1049/el.2012.0384 , Print ISSN 0013-5194, Online ISSN 1350-911X
© The Institution of Engineering and Technology
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The partial maximum a posteriori probability (MAP) principle allows a decision on the list length of the list-based MIMO detection at a certain SNR to provide near optimal performance. The computationally efficient lattice reduction (LR) is adopted with the partial MAP-based list detection, where the column reordering criterion (CRC) is carried out to further reduce the list length and complexity.

Inspec keywords: maximum likelihood estimation; MIMO communication

Other keywords: partial maximum a posteriori probability principle; partial MAP-based lattice reduction-aided list MIMO detection; CRC; column reordering criterion; computational efficient lattice reduction; SNR

Subjects: Radio links and equipment; Other topics in statistics

References

    1. 1)
    2. 2)
      • L. Bai , J. Choi . (2012) Low complexity MIMO detection.
    3. 3)
      • Waters, D.W., Barry, J.R.: `The Chase family of detection algorithms for multiple-input multiple-output channels', Proc. IEEE Globecom, December 2004, Dallas, TX, USA, 4, p. 2635–2639.
    4. 4)
    5. 5)
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