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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Ulmke, M. Erdinc, O. Willett, P. |
| Copyright Year | 2007 |
| Description | Author affiliation: FGAN-FKIE, Wachtberg (Ulmke, M.) |
| Abstract | The cardinalized probability hypothesis density (CPHD) filter is a recursive Bayesian algorithm for estimating multiple target states with varying target number in clutter. In particular, the Gaussian mixture variant (GMCPHD) for linear, Gaussian systems is a candidate for real time multi target tracking. The present work addresses the following three issues: (i) we show the equivalence between the GMCPHD filter and the standard Multi Hypothesis Tracker (MHT) in the case of single targets; (ii) using a Gaussian sum approach, we extend the GMCPHD filter by employing digital road maps for road constraint targets. The utilization of such external information leads to more precise tracks and faster and more reliable target number estimates; (iii) we model the effect of Doppler blindness by a target state dependent detection probability, leading to more stable target number estimation in the case of low Doppler targets. |
| Starting Page | 1 |
| Ending Page | 8 |
| File Size | 702339 |
| Page Count | 8 |
| File Format | |
| ISBN | 9780662458043 |
| DOI | 10.1109/ICIF.2007.4408105 |
| 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 | Target tracking Radar tracking Clutter Roads State estimation Digital filters Blindness Doppler radar Bayesian methods Recursive estimation ground moving target indicator radar (GMTI) Probability hypothesis density filter PHD multi-target tracking cardinalized probability hypothesis density filter CPHD road targets |
| Content Type | Text |
| Resource Type | Article |
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