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| Content Provider | IET Digital Library |
|---|---|
| Author | Battistelli, Giorgio Chisci, Luigi Fantacci, Claudio Farina, Alfonso Graziano, Antonio |
| Abstract | This study addresses distributed state estimation of jump Markovian systems and its application to tracking of a manoeuvring target by means of a network of heterogeneous sensors and communication nodes. Two novel consensus-based multiple-model filters are presented. Simulation experiments in a tracking case study, involving a strongly manoeuvring target and a sensor network characterised by weak connectivity, demonstrate the superiority of the proposed distributed multiple-mode filters with respect to existing solutions. |
| Starting Page | 401 |
| Ending Page | 410 |
| Page Count | 10 |
| ISSN | 17518784 |
| Volume Number | 9 |
| e-ISSN | 17518792 |
| Issue Number | Issue 4, Apr (2015) |
| Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/iet-rsn/9/4 |
| Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/10.1049/iet-rsn.2014.0071 |
| Journal | IET Radar, Sonar & Navigation |
| Publisher Date | 2015-04-01 |
| Access Restriction | Open |
| Rights Holder | © The Institution of Engineering and Technology |
| Subject Keyword | Belief Network Communication Nodes Consensus-based Multiple-model Bayesian Filtering Distributed Multiple-mode Filter Distributed State Estimation Distributed Tracking Filtering Method in Signal Processing Filtering Theory Heterogeneous Sonsor Jump Markovian System Markov Processes Wireless Sensor Network |
| Content Type | Text |
| Resource Type | Article |
| Subject | Electrical and Electronic Engineering |
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