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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Crouse, David Frederic Willett, Peter Guerriero, Marco Svensson, Lennart |
| Copyright Year | 2011 |
| Description | Author affiliation: Department of Signals and Systems, Chalmers University of Technology, SE-412 96 Göteborg, Sweden (Svensson, Lennart) || Elt Elettronica S.p.A., Via Tiburtina Valeria Km 13, 700 - 00131 Roma, Italy (Guerriero, Marco) || University of Connecticut, 371 Fairfield Way, U-2157, Storrs, 06269, USA (Crouse, David Frederic; Willett, Peter) |
| Abstract | Optimizing over a variant of the Mean Optimal Subpattern Assignment (MOSPA) metric is equivalent to optimizing over the track accuracy statistic often used in target tracking benchmarks. Past work has shown how obtaining a Minimum MOSPA (MMOSPA) estimate for target locations from a Probability Density Function (PDF) outperforms more traditional methods (e.g. maximum likelihood (ML) or Minimum Mean Squared Error (MMSE) estimates) with regard to track accuracy metrics. In this paper, we derive an approximation to the MMOSPA estimator in the two-target case, which is generally very complicated, based on minimizing a Bhattacharyya-like bound. It has a particularly nice form for Gaussian mixtures. We thence compare the new estimator to that obtained from using the MMSE and the optimal MMOSPA estimators. |
| Starting Page | 3644 |
| Ending Page | 3647 |
| File Size | 233475 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781457705380 |
| ISSN | 15206149 |
| e-ISBN | 9781457705397 |
| e-ISBN | 9781457705373 |
| DOI | 10.1109/ICASSP.2011.5947140 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2011-05-22 |
| Publisher Place | Czech Republic |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Target tracking Approximation methods Optimization Approximation algorithms Maximum likelihood estimation Accuracy state estimation MOSPA tracking |
| Content Type | Text |
| Resource Type | Article |
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