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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Horst, J. Oispuu, M. |
| Copyright Year | 2011 |
| Description | Author affiliation: Dept. Sensor Data and Information Fusion, Fraunhofer FKIE, Wachtberg, Germany (Horst, J.; Oispuu, M.) |
| Abstract | This paper addresses the problem of tracking a maneuvering target from passive measurements collected by a single observer. The target motion is characterized by several legs where in each leg the target moves with a constant speed and course. Course changes can be performed almost instantaneously. Furthermore, the observer takes either bearings-only or combined bearing and bearing rate measurements obtained by signals originating from the target. Here, the measurements are acquired by taking advantage of signal processing using a sensor array. In order to estimate the target state, a nonlinear Bayesian estimator, more precisely the marginalized particle filter, is applied in this work. Additionally, the times of course changes are detected employing a chi-square test. Finally, a comparison of the estimation results, obtained by Monte Carlo simulations, is performed between the cases of bearings-only measurements and combined bearing and bearing rate measurements. It is shown that a superior performance is achieved when using combined bearing and bearing rate measurements. |
| Starting Page | 1 |
| Ending Page | 8 |
| File Size | 408939 |
| Page Count | 8 |
| File Format | |
| ISBN | 9781457702679 |
| e-ISBN | 9780982443828 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2011-07-05 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Intl Society of Info Fusion |
| Subject Keyword | Particle measurements Atmospheric measurements Observers Mathematical model Covariance matrix Noise change detection Bearings-only tracking bearing rate target motion analysis maneuvering target particle filter |
| Content Type | Text |
| Resource Type | Article |
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