Partial diffusion Kalman filter for communication bandwidth constraints
In this paper, we propose a novel distributed Kalman filter (KF) over sensor networks using partial diffusion strategy, where each sensor only communicates with its neighbours and individual estimation vectors are partially transmitted to obtain local ones through convex combinations under communication bandwidth constraints. Proposed solution can obtain a trade-off between communications burden and estimation accuracy. Simulation results show the effectiveness of our algorithm, and it can obtain similar estimation accuracy with less information exchange when compared with the weighted KF.