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State estimation suffers some new challenging problems when wireless sensor networks (WSNs) are used in mobile target tracking systems. An important problem among them is low observability, which makes it necessary to further study performance of tracking estimators from an observable degree point of view. This paper studies observable degree analysis (ODA) to formulate the estimator performance for...
The estimation accuracy depends largely on observability and observable degree of system state components for classical Kalman filters. State estimation and computation of observable degrees based on Kalman filtering (KF) frame has received many attention in research and engineering fields, but there are still no normative and acknowledged computation methods on reasonable and justified observable...
It is well known that estimation performance of the Kalman filtering (KF) depends closely on systemic observability. Moreover, observable degree is usually used to measure the ability of observability on systemic state variables in control and estimation systems. Thereby, there should be a corresponding relation between the estimation performance of the KF and the observable degree. Unfortunately,...
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