General decentralized Kalman filters
Timothy Berg, Hugh F Durrant-Whyte · 2005
This paper considers a general decentralised Kalman filter, unique because it: requires no fusion center yet allows the different estimators to employ distributed models; minimizes communication with respect to message size and topology; requires no explicit knowledge of the transformations between the estimators; and reduces to previous results when appropriately constrained.