Unified bit-based probabilistic data association aided MIMO detection for high-order QAM


Yang, Shaoshi, Lv, Tiejun and Hanzo, Lajos (2011) Unified bit-based probabilistic data association aided MIMO detection for high-order QAM. At 12th IEEE Wireless Communications and Networking Conference (IEEE WCNC 2011), Cancun, Mexico, 28 - 31 Mar 2011. , 1629-1634. (doi:10.1109/WCNC.2011.5779379).

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Description/Abstract

A unified Bit-based Probabilistic Data Association (B-PDA) detection approach is proposed for Multiple-Input Multiple-Output (MIMO) systems employing high-order Quadrature Amplitude Modulation (QAM). The new approach transforms the symbol detection process of QAM to a bit-based process by introducing a Unified Matrix Representation (UMR) of QAM. Both linear natural and nonlinear Gray bit-to-symbol mapping schemes are considered. Our analytical and simulation results demonstrate that the linear natural mapping based B-PDA approach attains an improved detection performance, despite dramatically reducing the computational complexity in contrast to the conventional symbol-based PDA aided MIMO detector. Furthermore, it is shown that the linear natural mapping based B-PDA method is capable of approaching the lower bound performance provided by the nonlinear Gray mapping based B-PDA MIMO detector. Since the linear natural mapping based scheme is simpler and more applicable in practice than its nonlinear Gray mapping based counterpart, we conclude that in the context of the uncoded B-PDA MIMO detector it is preferable to use the linear natural bit-to-symbol mapping, rather than the nonlinear Gray mapping.

Item Type: Conference or Workshop Item (Speech)
Related URLs:
Keywords: probabilistic data association, pda, unified matrix representation, high-order qam, low complexity detection
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: 271901
Date Deposited: 12 Jan 2011 20:38
Last Modified: 27 Mar 2014 20:17
Further Information:Google Scholar
ISI Citation Count:0
URI: http://eprints.soton.ac.uk/id/eprint/271901

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