Advanced Search
Volume 30 Issue 12
Jan.  2011
Turn off MathJax
Article Contents
Yu Fei, Tao Jian-Wu, Chen Cheng, Qian Li-Lin. Single Snapshot Airspeed Estimation Based on Sparse Covariance Matrix Iteration[J]. Journal of Electronics & Information Technology, 2015, 37(3): 574-579. doi: 10.11999/JEIT140668
Citation: Ding Rui, Gao Xi-Qi, You Xiao-Hu. Sequential Monte Carlo Double Iterative Detection for Flat Fading MIMO Channel[J]. Journal of Electronics & Information Technology, 2008, 30(12): 2955-2958. doi: 10.3724/SP.J.1146.2007.00857

Sequential Monte Carlo Double Iterative Detection for Flat Fading MIMO Channel

doi: 10.3724/SP.J.1146.2007.00857
  • Received Date: 2007-06-01
  • Rev Recd Date: 2008-02-04
  • Publish Date: 2008-12-19
  • A space-time double iterative Sequential Monte Carlo (SMC) sampling-based detection algorithm is proposed for flat fading MIMO channel,based on traditional algorithms which only focus on time sampling or space sampling. A space-time multidimensional integral is established to compute the signals probability. SMC samples are drawn from both space and time dimensions, and the integral numerical value is approximated by weighted samples. The time samples are also utilized to complete joint channel estimation. The simulation result indicates that the proposed algorithm can obtain the suboptimal performance by low computational complexity.
  • [1] Wolniansky P W, Foschini G J, and Golden G D, et al..V-BLAST: An architecture for realizing very high data ratesover the rich-scattering wireless channel[C]. in Proc. Int.Symp. Signals, Syst., Electron., Pisa, Italy, Sep. 1998:295-300. [2] Golden G D, Foschini G J, and Valenzuela R A, et al..Detection algorithm and initial laboratory results usingV-BLAST space-time communication architecture[J].Electron. Lett.1999, 35(1):14-16 [3] Viterbo E and Boutros J. A universal lattice code decoder forfading channels[J].IEEE Trans. on Information Theory.1999,45(5):1639-1642 [4] Hochwald B M and Brink S T. Achieving near-capacity on amultiple-antenna channel[J].IEEE Trans. on Communica-tions.2003, 51(3):389-399 [5] Liu J and Chen R. Sequential Monte Carlo methods fordynamic systems[J].J. Amer. Statist. Assoc.1998, 93(443):1032-1044 [6] Doucet A, Godsill S J, and Andrieu C. On sequential MonteCarlo sampling methods for Bayesian filtering[J].Statist.,Comput.2001, 10(3):197-208 [7] Dong B, Wang X, and Doucet A. A new class of MIMOdemodulation algorithms[J].IEEE Trans. on SignalProcessing.2003, 51(11):2752-2763 [8] Guo D and Wang X. Blind detection in MIMO systems viasequential Monte Carlo[J].IEEE J. Sel. Areas Commun.2003, 21(3):464-473 [9] Dong B and Wang X. Sampling-based soft equalization forfrequency-selective MIMO channels[J].IEEE Trans. onCommunications.2005, 53(2):278-288 [10] Su Y T, Zhang X D, and Zhu X L. A low-complexitysequential Monte Carlo algorithm for blind detection inMIMO systems[J].IEEE Trans. on Signal Processing.2006,54(7):2485-2496
  • Cited by

    Periodical cited type(2)

    1. 虞飞,余赟,周利辉,彭春光. 一种不依赖超参数的稀疏信号单快拍DOA估计方法. 系统工程与电子技术. 2021(04): 894-900 .
    2. 王梅,张四平. 基于SOA的改进型Apriori算法. 西安工程大学学报. 2016(04): 487-493 .

    Other cited types(0)

  • 加载中

Catalog

    通讯作者: 陈斌, bchen63@163.com
    • 1. 

      沈阳化工大学材料科学与工程学院 沈阳 110142

    1. 本站搜索
    2. 百度学术搜索
    3. 万方数据库搜索
    4. CNKI搜索

    Article Metrics

    Article views (3226) PDF downloads(893) Cited by()
    Proportional views
    Related

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return