A novel probabilistic data association based MIMO detector using joint detection of consecutive symbol vectors

Authors:
Shaoshi Yang;Tiejun Lv
Affiliations:
School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, Beijing, China;School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, Beijing, China
Venue:
CCNC'09 Proceedings of the 6th IEEE Conference on Consumer Communications and Networking Conference
Year:
2009

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Abstract

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.