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Content Provider | IEEE Xplore Digital Library |
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Author | Wang Zongyuan Sun Feng |
Copyright Year | 2013 |
Description | Author affiliation: Harbin Eng. Univ., Harbin, China (Wang Zongyuan; Sun Feng) |
Abstract | The method of decentralized estimation is one that is fulfilled through decomposition of state space. Target tracking model with turning angular unknown has both nonlinear state function and measure function. Regular particle filter and UKF are both divergent through simulation. Then decentralized particle filter method was used by dividing state and state function into two parts accordingly, through decoupling correlated noise of state function, designing importance function, the two parts were estimated by particle filter separately. The outcome illustrated indicates it not only free of degeneracy, but also having a high accuracy of filtering, shortening time of filtering. At last, a decentralized estimation based on mixed nonlinear filter is addressed, which the weight of local level is not estimated. |
Starting Page | 1346 |
Ending Page | 1350 |
File Size | 163114 |
Page Count | 5 |
File Format | |
ISBN | 9781479925643 |
e-ISBN | 9781479925650 |
DOI | 10.1109/MEC.2013.6885277 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 2013-12-20 |
Publisher Place | China |
Access Restriction | Subscribed |
Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subject Keyword | State decomposition Target tracking Target tracking model Atmospheric measurements Noise Estimation Nonlinear filters Decoupling noise Particle filters Filtering theory Mixed nonlinear filter Decentralized filter |
Content Type | Text |
Resource Type | Article |
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