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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Closas, P. Bugallo, M.F. |
| Copyright Year | 1994 |
| Abstract | This paper analyzes and validates an enhanced implementation of the multiple particle filter that improves its accuracy when applied to high dimensional problems. The algorithm combines the divide et impera philosophy of the multiple particle filter, which avoids the collapse of traditional particle filters, with game theory strategies that provide with a powerful tool to improve the performance. The problem of multiple target tracking with received signal strength measurements is addressed and the results show remarkable improvement over both standard particle filtering and multiple particle filtering. |
| Sponsorship | IEEE Signal Processing Society |
| Starting Page | 531 |
| Ending Page | 534 |
| Page Count | 4 |
| File Size | 1180946 |
| File Format | |
| ISSN | 10709908 |
| Volume Number | 19 |
| Issue Number | 8 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2012-08-01 |
| Publisher Place | U.S.A. |
| Access Restriction | One Nation One Subscription (ONOS) |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Games Target tracking Atmospheric measurements Particle measurements Convergence Equations Mathematical model target tracking Game theory high dimensional systems multiple particle filtering received signal strength |
| Content Type | Text |
| Resource Type | Article |
| Subject | Applied Mathematics Signal Processing Electrical and Electronic Engineering |
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