Particle Filtering For Decoding Of MIMO Systems

摘要：

In this paper, we introduce particle filtering for detection of BLAST systems. We propose at first a procedure to build prior distributions. Then, we establish an equivalent whitening filter output system model which enables to apply sequential Monte Carlo sampling, or particle filtering for detection. The proposed algorithm achieves near optimum performance due to the fact that it greatly reduces error propagation. Compared to MMSE-VBLAST cancellation technique, simulation results show that our proposed particle filtering detector significantly improves the overall system performance.

作者: G. Ferré J. P. Cances V. Meghdadi

作者单位: Université de Limoges - Ecole Nationale Supérieure dIngénieurs de Limoges (ENSIL) XLIM-Dept. C2S2, UMR CNRS 6172- Limoges, France

会议类型: 国际会议

会议名称: 第三届IEEE无线通讯、网络技术暨移动计算国际会议

会议地点: 上海

会议语种:英文

在线出版日期: 2007-09-21（万方平台首次上网日期，不代表论文的发表时间）