Soft quasi-maximum-likelihood detection for multiple-antenna wireless channels
| Autor: | Kon Max Wong, Zhi-Quan Luo, Baldur Steingrimsson |
|---|---|
| Rok vydání: | 2003 |
| Předmět: |
Physics::Instrumentation and Detectors
Detector MIMO Phase detector Channel state information Control theory Signal Processing Electronic engineering Electrical and Electronic Engineering Phase frequency detector Quadrature amplitude modulation Computer Science::Information Theory Rayleigh fading Phase-shift keying Mathematics |
| Zdroj: | IEEE Transactions on Signal Processing. 51:2710-2719 |
| ISSN: | 1053-587X |
| DOI: | 10.1109/tsp.2003.818203 |
| Popis: | 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). |
| Databáze: | OpenAIRE |
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