Distributed Tracking with Doppler Sensors
This paper deals with the problem of tracking a moving target by means of a network of geographically dispersed nodes with Doppler sensing, communication and processing capabilities, free of any centralized coordination. The contribution is twofold. First, a suitable nonlinear observability decompos...
| Main Authors: | , , , , |
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| Other Authors: | |
| Format: | Conference Paper |
| Published: |
IEEE
2013
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| Online Access: | http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6760635 http://hdl.handle.net/20.500.11937/8469 |
| _version_ | 1848745667641475072 |
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| author | Battistelli, G. Chisci, L. Fantacci, Claudio Farina, A. Graziano, A. |
| author2 | Thomas Parisini |
| author_facet | Thomas Parisini Battistelli, G. Chisci, L. Fantacci, Claudio Farina, A. Graziano, A. |
| author_sort | Battistelli, G. |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | This paper deals with the problem of tracking a moving target by means of a network of geographically dispersed nodes with Doppler sensing, communication and processing capabilities, free of any centralized coordination. The contribution is twofold. First, a suitable nonlinear observability decomposition is introduced in order to single out state coordinates that can be fully observed from a single Doppler sensor. Then, based on such a decomposition, a novel consensus filter for distributed Doppler-only tracking is developed and its performance is evaluated via computer simulations. |
| first_indexed | 2025-11-14T06:21:00Z |
| format | Conference Paper |
| id | curtin-20.500.11937-8469 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T06:21:00Z |
| publishDate | 2013 |
| publisher | IEEE |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-84692023-02-07T08:01:24Z Distributed Tracking with Doppler Sensors Battistelli, G. Chisci, L. Fantacci, Claudio Farina, A. Graziano, A. Thomas Parisini Roberto Tempo This paper deals with the problem of tracking a moving target by means of a network of geographically dispersed nodes with Doppler sensing, communication and processing capabilities, free of any centralized coordination. The contribution is twofold. First, a suitable nonlinear observability decomposition is introduced in order to single out state coordinates that can be fully observed from a single Doppler sensor. Then, based on such a decomposition, a novel consensus filter for distributed Doppler-only tracking is developed and its performance is evaluated via computer simulations. 2013 Conference Paper http://hdl.handle.net/20.500.11937/8469 http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6760635 IEEE restricted |
| spellingShingle | Battistelli, G. Chisci, L. Fantacci, Claudio Farina, A. Graziano, A. Distributed Tracking with Doppler Sensors |
| title | Distributed Tracking with Doppler Sensors |
| title_full | Distributed Tracking with Doppler Sensors |
| title_fullStr | Distributed Tracking with Doppler Sensors |
| title_full_unstemmed | Distributed Tracking with Doppler Sensors |
| title_short | Distributed Tracking with Doppler Sensors |
| title_sort | distributed tracking with doppler sensors |
| url | http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6760635 http://hdl.handle.net/20.500.11937/8469 |