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Low-Complexity Equalization of MIMO-OSDM

Signal Processing 2019-06-27 v1 Information Theory math.IT

Abstract

Orthogonal signal-division multiplexing (OSDM) is an attractive alternative to conventional orthogonal frequency-division multiplexing (OFDM) due to its enhanced ability in peak-to-average power ratio (PAPR) reduction. Combining OSDM with multiple-input multiple-output (MIMO) signaling has the potential to achieve high spectral and power efficiency. However, a direct channel equalization in this case incurs a cubic complexity, which may be expensive for practical use. To solve the problem, low-complexity per-vector and block equalization algorithms of MIMO-OSDM are proposed in this paper for time-invariant and time-varying channels, respectively. By exploiting the channel matrix structures, these algorithms have only a linear complexity in the transformed domain. Simulation results demonstrate their validity and the related performance comparisons.

Keywords

Cite

@article{arxiv.1906.10848,
  title  = {Low-Complexity Equalization of MIMO-OSDM},
  author = {Jing Han and Shengqian Ma and Yujie Wang and Geert Leus},
  journal= {arXiv preprint arXiv:1906.10848},
  year   = {2019}
}

Comments

Submitted to IEEE Transactions on Vehicular Technology

R2 v1 2026-06-23T10:03:44.225Z