A novel probabilistic data association based MIMO detector using joint detection of consecutive symbol vectors
Yang, Shaoshi and Lv, Tiejun (2009) A novel probabilistic data association based MIMO detector using joint detection of consecutive symbol vectors. At 6th IEEE Consumer Communications and Networking Conference (IEEE CCNC 2009), Las Vegas, US, 10 - 13 Jan 2009. IEEE, 231-235. (doi:10.1109/CCNC.2009.4784838).
- Publishers print
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)|
|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
|Date Deposited:||26 Mar 2011 05:25|
|Last Modified:||07 May 2013 08:23|
|Contributors:||Yang, Shaoshi (Author)
Lv, Tiejun (Author)
|Further Information:||Google Scholar|
|ISI Citation Count:||0|
|RDF:||RDF+N-Triples, RDF+N3, RDF+XML, Browse.|
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