Efficient Implementation of Quasi- Maximum-Likelihood Detection Based on Semidefinite Relaxation

@article{Kisialiou2009EfficientIO,
  title={Efficient Implementation of Quasi- Maximum-Likelihood Detection Based on Semidefinite Relaxation},
  author={Mikalai Kisialiou and Xiaodong Luo and Zhi-Quan Luo},
  journal={IEEE Transactions on Signal Processing},
  year={2009},
  volume={57},
  pages={4811-4822}
}
In this paper we develop two quasi-maximum likelihood (ML) channel detectors for multiuser detection: semidefinite relaxation (SDR) detector and phase-shift-keying (PSK) detector. These detectors can deliver near-ML bit error rate (BER) performance with a polynomial worst-case complexity. The SDR detector for binary-phase-shift-keying (BPSK) constellation is based on a convex SDR, whereas the PSK detector for M-PSK constellations is based on a nonconvex low-rank SDR. The SDR detector is… CONTINUE READING
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