一种基于IMM的非迭代式自适应变数据率算法

IMM BASED NONITERATIVE ADAPTIVE VARIABLE DATA RATE ALGORITHM

本文提出了一种新的自适应调节跟踪数据率的方法。这种算法利用了跟踪帧周期与滤波精度和滤波器模型参数之间的解析关系,解决了自适应调节数据率时确定调节量的问题。仿真结果表明,这种算法不仅保留了多模型变数据率方法的主要优点,而且克服了现有多模型变数据率方法计算量太大的缺点。

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.