CCNC'09 Proceedings of the 6th IEEE Conference on Consumer Communications and Networking Conference
Performance comparison between two SISO detectors for MIMO channels
WiCOM'09 Proceedings of the 5th International Conference on Wireless communications, networking and mobile computing
A semidefinite relaxation approach to efficient soft demodulation of MIMO 16-QAM
ICC'09 Proceedings of the 2009 IEEE international conference on Communications
Soft-input soft-output single tree-search sphere decoding
IEEE Transactions on Information Theory
Matrix-lifting semi-definite programming for detection in multiple antenna systems
IEEE Transactions on Signal Processing
Wireless Personal Communications: An International Journal
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The paper addresses soft maximum-likelihood (ML) detection for multiple-antenna wireless communication channels. We propose a soft quasi-ML detector that maximizes the log-likelihood function by deploying a semi-definite relaxation (SDR). Given perfect channel state information at the receiver, the quasi-ML SDR detector closely approximates the performance of the optimal ML detector in both coded and uncoded multiple-input, multiple-output (MIMO) channels with quadrature phase-shift keying (QPSK) modulation and frequency-flat Rayleigh fading. The complexity of the quasi-ML SDR detector is much less than that of the optimal ML detector, thus offering more favorable performance/complexity characteristics. In contrast to the existing sphere decoder, the new quasi-ML detector enjoys guaranteed polynomial worst-case complexity. The two detectors exhibit quite comparable performance in a variety of ergodic QPSK MIMO channels, but the complexity of the quasi-ML detector scales better with increasing number of transmit and receive antennas, especially in the region of low signal-to-noise ratio (SNR).