ASMT: An augmented state-based multi-target tracking algorithm in wireless sensor networks
| Autor: | Tun Fun, Lei Zhang, Rui Wang, Jian Li, Xiao Kejiang |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2017 |
| Předmět: |
Hot spot (computer programming)
0209 industrial biotechnology Computer Networks and Communications business.industry Computer science Real-time computing General Engineering 020206 networking & telecommunications 02 engineering and technology lcsh:QA75.5-76.95 020901 industrial engineering & automation Sensor node 0202 electrical engineering electronic engineering information engineering Multi target tracking lcsh:Electronic computers. Computer science business Wireless sensor network Computer network |
| Zdroj: | International Journal of Distributed Sensor Networks, Vol 13 (2017) |
| ISSN: | 1550-1477 |
| Popis: | Due to the resource limitation and low performance of sensor node, research works of multi-target tracking became a hot spot in the applications of wireless sensor networks. Here, we propose an algorithm named augmented state-based multi-target tracking algorithm. To augment the state of the target tracking, augmented state-based multi-target tracking algorithm can effectively reduce the computational complexity of data association. Then, multi-target tracking in wireless sensor networks can be implemented by augmented state-based multi-target tracking algorithm as a simplified Bayesian estimation method is adopted. The simulation of multi-target tracking in wireless sensor networks demonstrates that augmented state-based multi-target tracking algorithm has less computation and higher accuracy than traditional method, especially in the implementation of maneuvering targets with intersection. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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