48 search results - page 1 / 10 » Distributed Kalman filtering based on quantized innovations |
ICASSP
2008
IEEE
13 years 11 months ago
2008
IEEE
We consider state estimation of a Markov stochastic process using an ad hoc wireless sensor network (WSN) based on noisy linear observations. Due to power and bandwidth constraint...
ICASSP
2009
IEEE
13 years 11 months ago
2009
IEEE
In this paper, we re-examine the recently proposed distributed state estimators based on quantized innovations. It is widely believed that the error covariance of the Quantized In...
CDC
2009
IEEE
13 years 9 months ago
2009
IEEE
— We study the problem of optimal estimation using quantized innovations, with application to distributed estimation over sensor networks. We show that the state probability dens...
TSP
2008
13 years 4 months ago
2008
Estimation and tracking of generally nonstationary Markov processes is of paramount importance for applications such as localization and navigation. In this context, ad hoc wireles...
ICPR
2008
IEEE
14 years 6 months ago
2008
IEEE
Object tracking is one of the most important tasks in computer vision. The unscented particle filter algorithm has been extensively used to tackle this problem and achieved a grea...