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Strong Tracking Filtering Algorithm of Randomly Delayed Measurements for Nonlinear Systems
Yang, H. T.; H. B. Gao and X. Liu
2015
发表期刊Mathematical Problems in Engineering
页码14
摘要This paper focuses on the filtering problems of nonlinear discrete-time stochastic dynamic systems, such as the model simplification, noise characteristics uncertainty, initial conditions uncertainty, or system parametric variation. Under these circumstances, the measurements of system have one sampling time random delay. A new method, that is, strong tracking filtering algorithm of randomly delayed measurements (STF/RDM) for nonlinear systems based on recursive operating by analytical computation and first-order linear approximations, is proposed; a principle of extended orthogonality is presented as a criterion of designing the STF/RDM, and through the residuals between available and predicted measurements, the formula of fading factor is obtained. Under the premise of using the extended orthogonality principle, STF/RDM proposed in this paper can adjust the fading factor online via calculating the covariance of residuals, and then the gain matrices of the STF/RDM adjust in real time to enhance the performance of the proposed method. Lastly, in order to prove that the performance of STF/RDM precedes existing EKF method, the experiment of tracking maneuvering aircraft is carried out.
收录类别SCI ; EI
文献类型期刊论文
条目标识符http://ir.ciomp.ac.cn/handle/181722/55504
专题中科院长春光机所知识产出
推荐引用方式
GB/T 7714
Yang, H. T.,H. B. Gao and X. Liu. Strong Tracking Filtering Algorithm of Randomly Delayed Measurements for Nonlinear Systems[J]. Mathematical Problems in Engineering,2015:14.
APA Yang, H. T.,&H. B. Gao and X. Liu.(2015).Strong Tracking Filtering Algorithm of Randomly Delayed Measurements for Nonlinear Systems.Mathematical Problems in Engineering,14.
MLA Yang, H. T.,et al."Strong Tracking Filtering Algorithm of Randomly Delayed Measurements for Nonlinear Systems".Mathematical Problems in Engineering (2015):14.
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