数据采集与处理2016，Vol.31Issue(5)：1051-1058,8.DOI:10.16337/j.1004-9037.2016.05.024
改进的粒子滤波单通道盲分离算法
Improved Single-Channel Blind Separation Algorithm Based on Particle Filtering
摘要
Abstract
An improved method is proposed to deal with the low estimation accuracy and convergence rate in fixed parameters estimation of mixed digital signals using particle filtering.By modification of the tra-ditional random walk model,and modeling the posterior probability of the parameters as the BETA dis-tribution,the estimation accuracy and convergence rate are enhanced,the separation performance is im-proved either.In order to evaluate the performance of the proposed algorithm,the joint Cramer-Rao bound for parameter estimation is derived under the condition of known transmitted symbols.Simulation results show that the new algorithm has better performance than that of the traditional methods.关键词
粒子滤波/单通道盲分离/克拉美罗界/固定参数估计Key words
particle filtering/single-channel blind separation/joint Cramer-Rao bound/fixed parameter estimation分类
信息技术与安全科学引用本文复制引用
马欢,江桦..改进的粒子滤波单通道盲分离算法[J].数据采集与处理,2016,31(5):1051-1058,8.基金项目
国家自然科学基金(61271104)资助项目。 （61271104）
