IMM BASED NONITERATIVE ADAPTIVE VARIABLE DATA RATE ALGORITHM
一种基于IMM的非迭代式自适应变数据率算法

A new method of adaptively controlling the sampling rate of tracking is proposed in this paper. The analytic relationship between the sampling interval and the accuracy and model parameters of filter is applied.The problem of deciding the amount of the sampling interval is thus solved when the sampling rate is required to be controlled. It is shown by the simulation tests that the default of heavy computation budern in the methods of varying sampling rate based on multiple models is overcome meanwhile the prime advantages of those methods is conserved.