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

A novel probabilistic data association based MIMO detector using joint detection of consecutive symbol vectors
A novel 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
231-235
Yang, Shaoshi
df1e6c38-ff3b-473e-b36b-4820db908e60
Lv, Tiejun
fb465673-1068-4cae-bb94-93ab1dd63f4d
Yang, Shaoshi
df1e6c38-ff3b-473e-b36b-4820db908e60
Lv, Tiejun
fb465673-1068-4cae-bb94-93ab1dd63f4d

Yang, Shaoshi and Lv, Tiejun (2009) A novel probabilistic data association based MIMO detector using joint detection of consecutive symbol vectors. 6th IEEE Consumer Communications and Networking Conference (IEEE CCNC 2009), United States. 10 - 13 Jan 2009. pp. 231-235 . (doi:10.1109/CCNC.2009.4784838).

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: January 2009
Venue - Dates: 6th IEEE Consumer Communications and Networking Conference (IEEE CCNC 2009), United States, 2009-01-10 - 2009-01-13
Keywords: gaussian approximation, mimo detection, maximum likelihood detection, ml detection, probabilistic data association, pda
Organisations: Southampton Wireless Group

Identifiers

Local EPrints ID: 272123
URI: https://eprints.soton.ac.uk/id/eprint/272123
PURE UUID: 2a75d791-0b66-40d4-9e1a-8facad5b778c

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Date deposited: 26 Mar 2011 05:25
Last modified: 19 Jul 2019 22:10

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