CDC
2010
IEEE
13 years 7 months ago
2010
IEEE
In this paper we study statistical properties of the error covariance matrix of a Kalman filter, when it is subject to random measurement losses. We introduce a sequence of tighter...
CDC
2010
IEEE
13 years 7 months ago
2010
IEEE
This work focuses on optimal routing for two camera-equipped UAVs cooperatively tracking a single target moving on the ground. The UAVs are small fixed-wing aircraft cruising at a ...
CDC
2010
IEEE
13 years 7 months ago
2010
IEEE
Abstract-- The Unscented Kalman Filter (UKF) is a nonlinear estimator that is particularly well suited for complex nonlinear systems. In the UKF, the error covariance is estimated ...
PROCEDIA
2010
13 years 11 months ago
2010
The development of the adjoint of the forecast model and of the adjoint of the data assimilation system (adjoint-DAS) make feasible the evaluation of the derivative-based forecast...
AUTOMATICA
2008
14 years 26 days ago
2008
We consider a discrete time state estimation problem over a packet-based network. In each discrete time step, a measurement packet is sent across a lossy network to an estimator u...
ICASSP
2009
IEEE
14 years 7 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...
SC
2009
ACM
14 years 7 months ago
2009
ACM
Error Subspace Statistical Estimation (ESSE), an uncertainty prediction and data assimilation methodology employed for real-time ocean forecasts, is based on a characterization an...