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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Wei Li Yiping Li Shenzhen Ren Xisheng Feng |
| Copyright Year | 2013 |
| Description | Author affiliation: State Key Lab. of Robot., SIA, Shenyang, China (Wei Li; Yiping Li; Shenzhen Ren; Xisheng Feng) |
| Abstract | To improve the tracking accuracy of an underwater maneuvering target, according to its characteristics of low speed and weak maneuvering performance, an adaptive Kalman filter is given based on the online estimation of the process noise variance. As the main filter analyzes the target motion, the process noise variance of the main filter is estimated by an auxiliary filter for being adaptively adjusted according to the target maneuvering intensity to improve the target tracking accuracy for uniform motions, as well as improving response speed of the filter for maneuvering behavior of the target. Simulation results show that the proposed algorithm performs well, which, to a certain extent, effectively improves the tracking accuracy of an underwater maneuvering target. |
| Starting Page | 1 |
| Ending Page | 4 |
| File Size | 462957 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781479928255 |
| ISSN | 21593450 |
| e-ISBN | 9781479928279 |
| DOI | 10.1109/TENCON.2013.6718493 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2013-10-22 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Target tracking Noise Kalman filters Filtering algorithms Accuracy Adaptation models active sonar underwater target maneuver tracking adaptive Kalman filter |
| Content Type | Text |
| Resource Type | Article |
| Subject | Electrical and Electronic Engineering Computer Science Applications |
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