CDC
2010
IEEE
13 years 5 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 5 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 5 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 9 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
13 years 11 months 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 5 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 5 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...