Comparison and Analysis of Deterministic Sampling Filters for State Estimation
Yan Liang · Jisuanji fangzhen · 2007
Sampling-based filtering approaches are widely used for the on-line estimation problem of non-Gaussian nonlinear systems. They commonly take advantages of matching the prior density of system state by certain sampling strategies. Theoretical analysis and experimental results on several popular deterministic sampling filters were proposed to show performance on coping with non-gauss nonlinear filtering problems; moreover,guidelines and suggestions were given for practical appliance requisitions.