Near-Optimal Decoding Algorithm for Alamouti Transmit Diversity over Time-Selective Fading Channels
Hoojin Lee · 한국정보기술학회논문지 · 2011
In this paper, we propose a low-complexity but efficient symbol decoding algorithm for an Alamouti transmit diversity system, especially in order to overcome the adverse effect of time-selective fading channels. By exploiting symbols initially detected by existing simple detectors, the proposed detection algorithm for Alamouti's scheme iteratively searches for a better estimate in the signal constellation. Hence, over time-selective fading channels, the proposed algorithm exhibits comparable performance to the existing optimal maximum-likelihood(ML) decoder, while maintaining much lower complexity than the ML decoder.