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

A probabilistic data association based MIMO detector using joint detection of consecutive symbol vectors
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 detection, ml detection, probabilistic data association, pda
436-440
Yang, Shaoshi
df1e6c38-ff3b-473e-b36b-4820db908e60
Lv, Tiejun
fb465673-1068-4cae-bb94-93ab1dd63f4d
Yun, Xiang
ed3673e5-8947-4805-b8ba-ef74d098dc1d
Su, Xinghui
3a7b4c16-b23b-492a-a0bd-7d8715829c9b
Xia, Jinhuan
1277ae83-a734-4daa-af5f-e33db70a9bfe
Yang, Shaoshi
df1e6c38-ff3b-473e-b36b-4820db908e60
Lv, Tiejun
fb465673-1068-4cae-bb94-93ab1dd63f4d
Yun, Xiang
ed3673e5-8947-4805-b8ba-ef74d098dc1d
Su, Xinghui
3a7b4c16-b23b-492a-a0bd-7d8715829c9b
Xia, Jinhuan
1277ae83-a734-4daa-af5f-e33db70a9bfe

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. 11th IEEE Singapore International Conference on Communication Systems (IEEE ICCS 2008), Guangzhou, China. 19 - 21 Nov 2008. pp. 436-440 . (doi:10.1109/ICCS.2008.4737221).

Record type: Conference or Workshop Item (Paper)

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.

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More information

Published date: November 2008
Venue - Dates: 11th IEEE Singapore International Conference on Communication Systems (IEEE ICCS 2008), Guangzhou, China, 2008-11-19 - 2008-11-21
Keywords: gaussian approximation, mimo detection, maximum likelihood detection, ml detection, probabilistic data association, pda
Organisations: Southampton Wireless Group

Identifiers

Local EPrints ID: 272119
URI: http://eprints.soton.ac.uk/id/eprint/272119
PURE UUID: e1765906-900a-4f86-8751-6d31a57e53de

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Date deposited: 26 Mar 2011 04:20
Last modified: 14 Mar 2024 09:48

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Contributors

Author: Shaoshi Yang
Author: Tiejun Lv
Author: Xiang Yun
Author: Xinghui Su
Author: Jinhuan Xia

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