基于粒子群的信道估计方法

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.

Method of channel estimation based on particle swarm

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.