Multi-Bernoulli filter for target tracking with multi-static Doppler only measurement
Multi-static Doppler-shift has re-emerged recently in the target tracking literature along with passive sensing, especially for aircraft tracking. Tracking with multi-static Doppler only measurement requires efficient multi-sensor fusion approach and optimal sensor network configuration if possible....
| Main Authors: | , , |
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| Format: | Journal Article |
| Published: |
Elsevier BV
2015
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| Online Access: | http://hdl.handle.net/20.500.11937/56171 |
| _version_ | 1848759804401549312 |
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| author | Liang, M. Kim, Du Yong Kai, X. |
| author_facet | Liang, M. Kim, Du Yong Kai, X. |
| author_sort | Liang, M. |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | Multi-static Doppler-shift has re-emerged recently in the target tracking literature along with passive sensing, especially for aircraft tracking. Tracking with multi-static Doppler only measurement requires efficient multi-sensor fusion approach and optimal sensor network configuration if possible. In this paper, we present a solution for multi-target tracking with Doppler only measurements using the multi-Bernoulli filter. To utilize Doppler measurements from multiple sensors, we investigate different multi-sensor fusion schemes and the sensor-target geometry analysis for optimal multi-static Doppler sensor network configuration. Sensor-target geometry analysis is presented to investigate optimal multi-static Doppler sensor network configuration. Numerical results verify that the proposed sequential Monte Carlo (SMC) multi-Bernoulli filter with sequential update scheme and using the carefully chosen network shows good performance. |
| first_indexed | 2025-11-14T10:05:42Z |
| format | Journal Article |
| id | curtin-20.500.11937-56171 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T10:05:42Z |
| publishDate | 2015 |
| publisher | Elsevier BV |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-561712017-09-13T16:09:55Z Multi-Bernoulli filter for target tracking with multi-static Doppler only measurement Liang, M. Kim, Du Yong Kai, X. Multi-static Doppler-shift has re-emerged recently in the target tracking literature along with passive sensing, especially for aircraft tracking. Tracking with multi-static Doppler only measurement requires efficient multi-sensor fusion approach and optimal sensor network configuration if possible. In this paper, we present a solution for multi-target tracking with Doppler only measurements using the multi-Bernoulli filter. To utilize Doppler measurements from multiple sensors, we investigate different multi-sensor fusion schemes and the sensor-target geometry analysis for optimal multi-static Doppler sensor network configuration. Sensor-target geometry analysis is presented to investigate optimal multi-static Doppler sensor network configuration. Numerical results verify that the proposed sequential Monte Carlo (SMC) multi-Bernoulli filter with sequential update scheme and using the carefully chosen network shows good performance. 2015 Journal Article http://hdl.handle.net/20.500.11937/56171 10.1016/j.sigpro.2014.09.013 Elsevier BV restricted |
| spellingShingle | Liang, M. Kim, Du Yong Kai, X. Multi-Bernoulli filter for target tracking with multi-static Doppler only measurement |
| title | Multi-Bernoulli filter for target tracking with multi-static Doppler only measurement |
| title_full | Multi-Bernoulli filter for target tracking with multi-static Doppler only measurement |
| title_fullStr | Multi-Bernoulli filter for target tracking with multi-static Doppler only measurement |
| title_full_unstemmed | Multi-Bernoulli filter for target tracking with multi-static Doppler only measurement |
| title_short | Multi-Bernoulli filter for target tracking with multi-static Doppler only measurement |
| title_sort | multi-bernoulli filter for target tracking with multi-static doppler only measurement |
| url | http://hdl.handle.net/20.500.11937/56171 |