IEEE Access (Jan 2019)

Novel MIMO Detection With Improved Complexity for Near-ML Detection in MIMO-OFDM Systems

  • Seung-Jin Choi,
  • Seong-Joon Shim,
  • Young-Hwan You,
  • Jaesang Cha,
  • Hyoung-Kyu Song

DOI
https://doi.org/10.1109/ACCESS.2019.2914707
Journal volume & issue
Vol. 7
pp. 60389 – 60398

Abstract

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In this paper, a novel efficient algorithm for MIMO detection in MIMO-OFDM systems has been proposed. This paper also shows that the complexity can be greatly reduced by applying the threshold in the breadth-first tree search algorithm step to eliminating paths. That is, this algorithm derives thresholds based on the LR-aided nonlinear algorithm and performs a simple tree search detection algorithm. This algorithm requires a lower computational complexity than the conventional QRD-M detection algorithm and achieves the same bit error performance. After the novel detection algorithm is proposed, this paper applies this algorithm to the MIMO-OFDM system for performance comparison in terms of error performance and complexity. In many cases of MIMO-OFDM receivers, the proposed method will be an excellent option for implementation.

Keywords