Impact of the gaussian approximation on the performance of the probabilistic data association MIMO decoder

• Published in: EURASIP journal on wireless communications and networking Vol. 2005; no. 5; pp. 796 - 800
• Main Authors: FRICKE, Justus Ch, SANDELL, Magnus, MIETZNER, Jan, HOEHER, Peter A
• Format: Journal Article
• Language: English
• Published: Sylvania, OH Hindawi Publishing Corporation 2005
• Subjects: Applied sciences; Exact sciences and technology; Systems, networks and services of telecommunications; Telecommunications; Telecommunications and information theory; Transmission and modulation (techniques and equipments); Personal digital assistant; Multiuser detection; Performance evaluation; MIMO system; iterative methods; Probabilistic approach; Wireless telecommunication; Statistical method; MIMO systems; Gaussian process; Code division multiple access; Probability density function; interference; stochastic approximation; probabilistic data association; Signal detection
• ISSN: 1687-1472; 1687-1499; 1687-1499
• DOI: 10.1155/WCN.2005.796

The probabilistic data association (PDA) decoder is investigated for use in coded multiple-input multiple-output (MIMO) systems and its strengths and weaknesses are determined. The conventional PDA decoder includes two approximations. The received symbols are assumed to be statistically independent and a Gaussian approximation is applied for the interference and noise term. We provide an analytical formula for the exact probability density function (PDF) of the interference and noise term, which is used to discuss the impact of the Gaussian approximation in the presence of a soft-input soft-output channel decoder. The results obtained resemble those obtained for the well-known PDA multiuser detector in coded CDMA systems for which similar investigations have been done before.