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| Content Provider | IET Digital Library |
|---|---|
| Author | Sun, Hemin Luo, Muyang Wu, Xiaobiao Xie, Xin Jiang, Zhimin |
| Abstract | The initial Gaussian mixture cardinality balanced multi-target multi-Bernoulli (GM-CBMeMBer) filter does not provide track information and assumes that the target birth intensity is known as a priori, but in reality the target may appear anywhere in the detection area. Therefore, the study proposes a labelled GM-CBMeMBer filter with adaptive track initiation. First, the filter introduces track label information and selects the measurements of newborn targets in the prediction process. In addition, it also makes full use of the Doppler information of the airborne Doppler radar. Then, the position estimate and velocity estimate of newborn targets are calculated by using position measurements converted and Doppler measurements, respectively. Further the label information in the prediction process is inherited during the update process, and the target states are updated sequentially with the Doppler measurements after having been updated by using position measurements. Monte–Carlo experiments show that the proposed filter can perform adaptive track initiation effectively, with good tracking performance, and provide target track information well. |
| Starting Page | 6028 |
| Ending Page | 6033 |
| Page Count | 6 |
| Volume Number | 2019 |
| e-ISSN | 20513305 |
| Issue Number | Issue 19, Oct (2019) |
| Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/joe/2019/19 |
| Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/10.1049/joe.2019.0446 |
| Journal | The Journal of Engineering |
| Publisher | The Institution of Engineering and Technology |
| Publisher Date | 2019-05-30 |
| Access Restriction | Open |
| Rights License | Creative Commons Attribution-Non Commercial-No Derivs License (http://creativecommons.org/licenses/by-nc-nd/3.0/) |
| Subject Keyword | Adaptive Track Initiation Airborne Doppler Radar Doppler Information Doppler Measurement Doppler Radar Filtering Method in Signal Processing Filtering Theory Gaussian Processes Good Tracking Performance Initial Gaussian Mixture Cardinality Labelled GM-CBMEMBER Filter Monte Carlo Method Monte–Carlo Experiments Multitarget MultiBernoulli Filter Newborn Target Measurement Position Estimate Position Measurement Prediction Process Radar Equipment Radar Tracking Spatial Variables Measurement System And Application Target Birth Intensity Target State Target Track Information Target Tracking Track Label Information Velocity Estimate |
| Content Type | Text |
| Resource Type | Article |
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