A Probabilistic Data Association Based MIMO Detector Using Joint Detection of Consecutive Symbol Vectors
A new probabilistic data association (PDA) approach is proposed for symbol detection in spatial multiplexing multiple-input multiple-output (MIMO) systems. By designing a joint detection (JD) structure for consecutive symbol vectors in the same transmit burst, more a priori information is exploited when updating the estimated posterior marginal probabilities for each symbol per iteration. Therefore the proposed PDA detector (denoted as PDA-JD detector) outperforms the conventional PDA detectors in the context of correlated input bit streams. Moreover, the conventional PDA detectors are shown to be a special case of the PDA-JD detector. Simulations and analyses are given to demonstrate the effectiveness of the new method.
Gaussian approximation MIMO detection,maximum likelihood (ML) detection probabilistic data association (PDA)
Shaoshi Yang Tiejun Lv Xiang Yun Xinghui Su Jinhuan Xia
School of Information and Communication Engineering Beijing University of Posts and Telecommunicatio Member,IEEE,School of Information and Communication Engineering Beijing University of Posts and Tele
国际会议
广州
英文
2008-11-19（万方平台首次上网日期，不代表论文的发表时间）