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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Abeles, P. Kovacich, M. |
| Copyright Year | 2007 |
| Description | Author affiliation: Lockheed Martin Space Syst. Co., Sunnyvale (Abeles, P.) |
| Abstract | Tracking maneuvering targets is a difficult problem due to unpredictable maneuvers which change the target's state and/or dynamics. To ensure track accuracy a filter needs to model the target correctly and quickly respond to maneuvers. A new sequential filter is proposed which attempts to improve upon existing algorithms in several areas. A more flexible internal model is used to describe effects of maneuver events. Maneuver hypotheses have improved temporal accuracy. A semi-Markov process is used to describe the probability of an event occurring as a function of time. In simulated test scenarios the new algorithm performs as well as or significantly better than Interacting Multiple Model filter. |
| Starting Page | 1 |
| Ending Page | 8 |
| File Size | 267610 |
| Page Count | 8 |
| File Format | |
| ISBN | 9780662458043 |
| DOI | 10.1109/ICIF.2007.4407972 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2007-07-09 |
| Publisher Place | Canada |
| Access Restriction | Subscribed |
| Rights Holder | ISIF |
| Subject Keyword | Filters Target tracking Space technology Angular velocity Filtering State estimation Degradation Frequency Markov processes Testing MTT Markov semi-Markov estimation multiple-model maneuvering |
| Content Type | Text |
| Resource Type | Article |
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