期刊文献+

基于粒子群的信道估计方法

Method of channel estimation based on particle swarm
下载PDF
导出
摘要 针对非线性信道精确估计的问题,将随机集和粒子群理论技术应用到信道估计算法中,提出了基于离散二进制粒子群的信道估计方法,并利用Matlab对该算法进行了仿真与评价。仿真研究结果表明,该算法能够获得较为精确的信道估计,同时,该方法适用于任何能用状态空间模型以及传统卡尔曼滤波表示的非线性系统。 In order to solve the problem of the precise estimation for the nonlinear channel,the theory technology of random sets and particle swarm was applied to the algorithm of channels estimation.A channel estimation method was presented based on the discrete binary particle swarm.The method was simulated and evaluated by using Matlab.The simulation results indicate that this method can obtain more accurate channel estimation.This method can be applied to any nonlinear systems which can be showed by state space model and the traditional Kalman filtering.
机构地区 河南新乡
出处 《机电工程》 CAS 2011年第4期489-492,共4页 Journal of Mechanical & Electrical Engineering
关键词 粒子群 信道估计 线性高斯 particle swarm channel estimation linear Gaussian
  • 相关文献

参考文献10

  • 1ANGELOSANTE E B, MARCO L. Sequential estimation ofOFDM channel [ J ]. IEEE Proceeding of Signal Process- ing, 2007,53 ( 8 ) : 3238-3243.
  • 2ANGELOSANTE E B, MARCO L. Sequential estimation of muhipath MIMO-OFDM channels [ J ]. IEEE Transactions on Signal Processing,2009,53 ( 8 ) :3167-3181.
  • 3ANGELOSANTE E B, MARCO L. Multiuser detection in dynamic environment part I : user identification and data detection[ J ]. IEEE Transactions on Information Theory, 2007,53(9) :3158-3170.
  • 4ANGELOSANTE E B, MARCO L. Muhiuser detection in dynamic environment part Ⅱ : joint user identification and parameter estimation [ J ]. IEEE Transactions on Information Theory, 2009,53 (5) : 2365-2374.
  • 5ANGELOSANTE E B, MARCO L. Some applications of FISST to wireless communications [ C ]//1 l^th Inter-national Conference on Information Fusion Proceeding,2008 : 1-6.
  • 6KHAIRY EI B, ALNEYADI H M. Comparison of the behavior of MMSE detection scheme for DS-CDMA and MC-CDMA [ C ]//Second IFTP International Conference ,2005:490-495.
  • 7BARHUMI I, LEUS G, MOONEN M. Optimal training de- sign for MIMO-OFDM systems in mobile wireless channels [ J ]. IEEE Transactions on Signal Processing, 2003,51 (6) : 1615-1624.
  • 8MAHLER R. Statistical Multisource Multi-target Information Fusion. Boston[ M ]. MA :Artech House,2007.
  • 9REYNOLDS C W. Flocks herds and schools: a distributed behavioral model[ J ]. Computer Graphics, 1987,21 (4) : 131-139.
  • 10SHI Y, EBERHART R C. Parameter selection in particle swarm optimization [ C ]//Proceedings of the 7th Annual Conference on Evolution Computation, 1998:591-601.

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部