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

被引:19
作者
Fricke J.Ch. [1 ]
Sandell M. [2 ]
Mietzner J. [1 ]
Hoeher P.A. [1 ]
机构
[1] Information and Coding Theory Lab., Faculty of Engineering, University of Kiel, 24143 Kiel
[2] Toshiba Research Europe Ltd., Telecommunications Research Laboratory, Bristol BS1 4ND
关键词
Interference; Iterative methods; MIMO systems; Probabilistic data association; Stochastic approximation;
D O I
10.1155/WCN.2005.796
中图分类号
学科分类号
摘要
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.
引用
收藏
页码:796 / 800
页数:4
相关论文
共 13 条
[1]  
Luo J., Pattipati K.R., Willet P.K., Hasegawa F., Near-optimal multiuser detection in synchronous CDMA using probabilistic data association, IEEE Commun. Lett., 5, 9, pp. 361-363, (2001)
[2]  
Tan P.H., Rasmussen L.K., Luo J., Iterative multiuser decoding based on probabilistic data association, Proc. IEEE International Symposium on Information Theory (ISIT '03), pp. 301-301, (2003)
[3]  
Pham D., Pattipati K.R., Willet P.K., Luo J., A generalized probabilistic data association detector for multiple antenna systems, IEEE Commun. Lett., 8, 4, pp. 205-207, (2004)
[4]  
Liu S., Tian Z., Near-optimum soft decision equalization for frequency selective MIMO channels, IEEE Trans. Signal Processing, 52, 3, pp. 721-733, (2004)
[5]  
Yin Y., Huang Y., Zhang J., Turbo equalization using probabilistic data association, Proc. IEEE Global Telecommunications Conference (GLOBECOM '04), 4, pp. 2535-2539, (2004)
[6]  
Rossler J.F., Huber J.B., Matched filter for transmission over channels with ISI employing the distribution of interference, Proc. 57th IEEE Semiannual Vehicular Technology Conference (VTC '03), 4, pp. 2648-2652, (2003)
[7]  
Leung W.K., Liu L., Ping L., Interleaving-based multiple access and iterative chip-by-chip multiuser detection, IEICE Transactions on Communications, E86-B, 12, pp. 3634-3637, (2003)
[8]  
Brannstrom F., Aulin T.M., Rasmussen L.K., Iterative detectors for trellis-code multiple-access, IEEE Trans. Commun., 50, 9, pp. 1478-1485, (2002)
[9]  
Tan P.H., Rasmussen L.K., Multiuser detection based on Gaussian approximation, Proc. IEEE 3rd Workshop on the Internet, Telecommunications and Signal Processing (WITSP '04), pp. 231-236, (2004)
[10]  
Golden G.D., Foschini C.J., Valenzuela R.A., Wolniansky P.W., Detection algorithm and initial laboratory results using V-BLAST space-time communication architecture, Electronics Letters, 35, 1, pp. 14-16, (1999)