Receiver selection for multi-target tracking in multi-static Doppler radar systems
Abstract This paper presents a novel receiver selection method for multi-target tracking in multi-static Doppler radar systems. The assumption is that in the surveillance volume of interest, a single transmitter with a known frequency is active and several spatially distributed radar receivers colle...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
SpringerOpen
2021-12-01
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| Series: | EURASIP Journal on Advances in Signal Processing |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s13634-021-00826-3 |
| _version_ | 1818723539012812800 |
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| author | Yun Zhu Li Zhao Yumei Zhang Xiaojun Wu |
| author_facet | Yun Zhu Li Zhao Yumei Zhang Xiaojun Wu |
| author_sort | Yun Zhu |
| collection | DOAJ |
| description | Abstract This paper presents a novel receiver selection method for multi-target tracking in multi-static Doppler radar systems. The assumption is that in the surveillance volume of interest, a single transmitter with a known frequency is active and several spatially distributed radar receivers collect and report Doppler-only measurements. The Doppler measurements are not only affected by the additive noise but also contaminated by false and missed detections. In this paper, multi-target tracking is obtained by modeling the multi-target state as a labeled multi-Bernoulli random finite set and receiver selection is implemented during tracking. Receiver selection is solved under the partially observed Markov decision framework, and the variance of the cardinality estimate is used as the selection criterion. To increase the diversity of the selected sensors and overcome the low observability of the Doppler measurement, the receivers selected at previous time steps are taken into account by adding a window. Simulation studies demonstrate the tracking performance of the proposed method with different window lengths. The results show that the observability of the target state is a crucial factor in determining the performance of receiver selection. The proposed method with a suitable window length can effectively improve the tracking accuracy. |
| first_indexed | 2024-12-17T21:12:07Z |
| format | Article |
| id | doaj.art-689c63e610424302a246c996f8642270 |
| institution | Directory Open Access Journal |
| issn | 1687-6180 |
| language | English |
| last_indexed | 2024-12-17T21:12:07Z |
| publishDate | 2021-12-01 |
| publisher | SpringerOpen |
| record_format | Article |
| series | EURASIP Journal on Advances in Signal Processing |
| spelling | doaj.art-689c63e610424302a246c996f86422702022-12-21T21:32:26ZengSpringerOpenEURASIP Journal on Advances in Signal Processing1687-61802021-12-012021111610.1186/s13634-021-00826-3Receiver selection for multi-target tracking in multi-static Doppler radar systemsYun Zhu0Li Zhao1Yumei Zhang2Xiaojun Wu3Key Laboratory of Modern Teaching Technology, Ministry of Education, Shaanxi Normal UniversitySchool of Computer Science, Shaanxi Normal UniversityKey Laboratory of Modern Teaching Technology, Ministry of Education, Shaanxi Normal UniversityKey Laboratory of Modern Teaching Technology, Ministry of Education, Shaanxi Normal UniversityAbstract This paper presents a novel receiver selection method for multi-target tracking in multi-static Doppler radar systems. The assumption is that in the surveillance volume of interest, a single transmitter with a known frequency is active and several spatially distributed radar receivers collect and report Doppler-only measurements. The Doppler measurements are not only affected by the additive noise but also contaminated by false and missed detections. In this paper, multi-target tracking is obtained by modeling the multi-target state as a labeled multi-Bernoulli random finite set and receiver selection is implemented during tracking. Receiver selection is solved under the partially observed Markov decision framework, and the variance of the cardinality estimate is used as the selection criterion. To increase the diversity of the selected sensors and overcome the low observability of the Doppler measurement, the receivers selected at previous time steps are taken into account by adding a window. Simulation studies demonstrate the tracking performance of the proposed method with different window lengths. The results show that the observability of the target state is a crucial factor in determining the performance of receiver selection. The proposed method with a suitable window length can effectively improve the tracking accuracy.https://doi.org/10.1186/s13634-021-00826-3Multi-target trackingMulti-static Doppler radar systemReceiver selectionRandom finite set |
| spellingShingle | Yun Zhu Li Zhao Yumei Zhang Xiaojun Wu Receiver selection for multi-target tracking in multi-static Doppler radar systems EURASIP Journal on Advances in Signal Processing Multi-target tracking Multi-static Doppler radar system Receiver selection Random finite set |
| title | Receiver selection for multi-target tracking in multi-static Doppler radar systems |
| title_full | Receiver selection for multi-target tracking in multi-static Doppler radar systems |
| title_fullStr | Receiver selection for multi-target tracking in multi-static Doppler radar systems |
| title_full_unstemmed | Receiver selection for multi-target tracking in multi-static Doppler radar systems |
| title_short | Receiver selection for multi-target tracking in multi-static Doppler radar systems |
| title_sort | receiver selection for multi target tracking in multi static doppler radar systems |
| topic | Multi-target tracking Multi-static Doppler radar system Receiver selection Random finite set |
| url | https://doi.org/10.1186/s13634-021-00826-3 |
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