[1]王忠勇,李响,王行业,等.一种新的非线性非高斯信号分离方法[J].郑州大学学报(工学版),2012,33(02):1-4.[doi:10.3969/j.issn.1671-6833.2012.02.001]
　WANG Zhongyong,LI Xiang,WANG Xingye,et al.A Novel Separation Method for Nonlinear Non-Gaussian Signal[J].Journal of Zhengzhou University (Engineering Science),2012,33(02):1-4.[doi:10.3969/j.issn.1671-6833.2012.02.001]
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一种新的非线性非高斯信号分离方法()
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《郑州大学学报(工学版)》[ISSN:1671-6833/CN:41-1339/T]

卷:
33
期数:
2012年02期
页码:
1-4
栏目:
出版日期:
2012-03-10

文章信息/Info

Title:
A Novel Separation Method for Nonlinear Non-Gaussian Signal
作者:
王忠勇; 李响; 王行业; 等.
郑州大学信息工程学院,河南郑州,450001, 郑州大学信息工程学院,河南郑州450001;解放军信息工程大学理学院,河南郑州450001
Author(s):
WANG Zhongyong; LI Xiang; WANG Xingye; etc;
(1. School of Information Engineering, Zhengzhou University, Zhengzhou 450001, China; 2. Institute of Seience, information and Enginecring University,Zhengzhou 450001,China
关键词:
粒子滤波;  非线性非高斯信号;  信号分离;  核平滑收缩
Keywords:
particle filtering;  nonlinear non-Gaussian signal;  signal separation;  kernel smoothing contraction
分类号:
TN911.7
DOI:
10.3969/j.issn.1671-6833.2012.02.001
摘要:
提出一种基于粒子滤波的非线性非高斯信号分离方法.该方法依据状态空间模型把信号分离问题转化为信号的状态和参数的联合估计问题,利用粒子滤波方法,结合核平滑收缩技术拟合系统未知参数后验分布,以实现非线性系统中多路信号的分离.仿真结果表明,与现有分离算法相比,该方法能有效解决非线性非高斯系统中多路信号的分离问题,并提高未知参数的估计精度.
Abstract:
In this paper, a novel separation method for nonlinear non-Gaussian signal is proposed. Accordingto the state space model, the issue of separation was changed into the joint estimation of the parameter andstate of the signal. In order to solve the problem of multi-signal separation for nonlinear systems, the algorithmuses particle filter method, combined the kernel smoothing contraction technique. The simulation results showthat, in nonlinear system, compared with DEKF algorithm, the proposed method can solve the problem ofmulti-signal separation effectively.

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[2]王忠勇,冯卫娜..一种基于粒子滤波的非线性系统参数和状态联合估计方法[J].郑州大学学报(工学版),2010,31(02):96.
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更新日期/Last Update: 1900-01-01