کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
563605 | 875512 | 2011 | 10 صفحه PDF | دانلود رایگان |
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.
► Target tracking using non-synchronous sensor networks.
► Traditional particle filter has a high computational load in this kind of network.
► The asynchronous particle filter is proposed to reduce the computational burden.
► Its performance is quite close to traditional particle filter's performance.
Journal: Signal Processing - Volume 91, Issue 10, October 2011, Pages 2304–2313