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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Dias, S.S. Bruno, M.G.S. |
| Copyright Year | 2013 |
| Description | Author affiliation: R&D Dept., Embraer Defense & Security, São José dos Campos, Brazil (Dias, S.S.) || Div. de Eng. Eletron., Inst. Tecnol. de Aeronaut., São José dos Campos, Brazil (Bruno, M.G.S.) |
| Abstract | We introduce in this paper a new fully distributed particle filter algorithm, referred to as the Random Exchange Diffusion Particle Filter (ReDif-PF), which is based on random information dissemination and, unlike previous consensus-based approaches, does not require iterative inter-node communication between measurement arrivals. The proposed algorithm is applied to track a moving emitter using a network of received-signal-strength (RSS) sensors. In a simulated scenario with a partially connected network, the proposed ReDif-PF outperformed an alternative suboptimal tracker that assimilates local neighboring measurements only. Compared to a broadcast-based filter that mimics the optimal centralized tracker and to its equivalent fully distributed consensus-based implementations, ReDif-PF showed a degradation in steady-state RMS error performance. However, ReDif-PF is better suited for real-time applications since it requires much lower bandwidth than the consensus-based filters and also has a lower computational cost. |
| Starting Page | 1251 |
| Ending Page | 1257 |
| File Size | 830734 |
| Page Count | 7 |
| File Format | |
| ISBN | 9786058631113 |
| e-ISBN | 9781479902842 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2013-07-09 |
| Publisher Place | Turkey |
| Access Restriction | Subscribed |
| Rights Holder | ISIF ( Intl Society of Information Fusi |
| Subject Keyword | Sensors Particle filters Protocols Atmospheric measurements Particle measurements Covariance matrices Vectors Wireless Sensor Networks Distributed Particle Filters RSS Emitter Tracking Diffusion |
| Content Type | Text |
| Resource Type | Article |
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