Name
Abstract | ||
|---|---|---|
This paper deals with the problem of tracking using a sensor network when the sensors are not synchronised. We propose a new algorithm called the asynchronous particle filter that, with much less computational burden than the traditional particle filter, has a slightly poorer performance. Thus, it is a good solution to real-time applications with non-synchronised sensors when high performance is required. The low computational burden of the method lies in the fact that we do not predict and update the state every time a measurement is collected. Its high performance is due to the fact that we account for the time instant at which each measurement was taken. |
Year | DOI | Venue |
|---|---|---|
2011 | 10.1016/j.sigpro.2011.04.013 | Signal Processing |
Keywords | Field | DocType |
good solution,computational burden,new algorithm,Tracking,poorer performance,Asynchronous particle filter,traditional particle filter,asynchronous particle filter,non-synchronised sensor,low computational burden,time instant,high performance,Wireless sensor networks,non-synchronous sensor network | Asynchronous communication,Wireless network,Signal processing,Detection theory,Control theory,Sensor array,Particle filter,Real-time computing,Electronic engineering,Wireless sensor network,Mathematics | Journal |
Volume | Issue | ISSN |
91 | 10 | Signal Processing |
Citations | PageRank | References |
8 | 0.66 | 15 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Angel F. Garcia-Fernandez | 1 | 131 | 18.15 |
| Jesús Grajal | 2 | 100 | 13.47 |