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| Content Provider | IET Digital Library |
|---|---|
| Author | Shi, Yi Fang Song, Taek Lyul Lee, Jong Hyun |
| Abstract | In this study, two algorithms of single-target tracking in clutter using a high pulse repetition frequency radar are extended: the Gaussian mixture measurement likelihood-integrated track splitting (GMM-ITS) algorithm and the enhanced multiple models (MM) to multi-target tracking algorithm, that is, the GMM-joint ITS algorithm and the enhanced MM-joint probabilistic data association algorithm, respectively. Both algorithms are extended on the basis of the optimal Bayes approach that creates track clusters for determining the nearby tracks that share measurements by enumerating and evaluating all the feasible joint measurement allocations. In all cases, the track trajectory probability density function is a Gaussian mixture, and both algorithms enable false track discrimination using the probability of target existence. |
| Starting Page | 1047 |
| Ending Page | 1054 |
| Page Count | 8 |
| ISSN | 17518784 |
| Volume Number | 9 |
| e-ISSN | 17518792 |
| Issue Number | Issue 8, Oct (2015) |
| Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/iet-rsn/9/8 |
| Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/10.1049/iet-rsn.2014.0453 |
| Journal | IET Radar, Sonar & Navigation |
| Publisher Date | 2015-05-07 |
| Access Restriction | Open |
| Rights Holder | © The Institution of Engineering and Technology |
| Subject Keyword | Bayes Method False Track Discrimination Gaussian Mixture Measurement Likelihood-integrated Track Splitting Algorithm Gaussian Processes GMM-joint ITS Algorithm High Pulse Repetition Frequency Radar Joint Measurement Allocations Mixture Model MM-joint Probabilistic Data Association Algorithm Multiple Model Multitarget Tracking Algorithm Optimal Bayes Approach Radar Clutter Radar Equipment Radar Theory Radar Tracking Sensor Fusion Signal Processing And Detection Statistics System And Application Target Existence Probability Target Tracking Track Trajectory Probability Density Function |
| Content Type | Text |
| Resource Type | Article |
| Subject | Electrical and Electronic Engineering |
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