A Novel Separation Method for Nonlinear Non-Gaussian Signal
[1]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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Journal of Zhengzhou University (Engineering Science)[ISSN
1671-6833/CN
41-1339/T] Volume:
33卷
Number of periods:
2012 02
Page number:
1-4
Column:
Public date:
2012-03-10
- Title:
- A Novel Separation Method for Nonlinear Non-Gaussian Signal
- Keywords:
- particle filtering; nonlinear non-Gaussian signal; signal separation; kernel smoothing contraction
- CLC:
- TN911.7
- DOI:
- 10.3969/j.issn.1671-6833.2012.02.001
- 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.
- References:
- -
- Similar References:
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Last Update:
1900-01-01