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


Yang, Shaoshi, Lv, Tiejun, Yun, Xiang, Su, Xinghui and Xia, Jinhuan (2008) A probabilistic data association based MIMO detector using joint detection of consecutive symbol vectors. At 11th IEEE Singapore International Conference on Communication Systems (IEEE ICCS 2008), Guangzhou, CN, 19 - 21 Nov 2008. IEEE, 436-440. (doi:10.1109/ICCS.2008.4737221).

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Description/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.

Item Type: Conference or Workshop Item (Speech)
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Keywords: gaussian approximation, mimo detection, maximum likelihood detection, ml detection, probabilistic data association, pda
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions: Faculty of Physical Sciences and Engineering > Electronics and Computer Science > Comms, Signal Processing & Control
ePrint ID: 272119
Date Deposited: 26 Mar 2011 04:20
Last Modified: 27 Mar 2014 20:17
Publisher: IEEE
Further Information:Google Scholar
ISI Citation Count:0
URI: http://eprints.soton.ac.uk/id/eprint/272119

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