Unscented Kalman filtering for target tracking systems with packet dropout compensation
IET Control Theory & Applications（2019）
摘要
The unscented Kalman filtering problem is investigated for a class of non-linear discrete-time stochastic systems subject to random packet dropout. Here, a random variable, which obeys Bernoulli distribution with known conditional probability, is introduced to depict the phenomenon of packet dropout occurring in a stochastic way. Based on the compensation technology of packet dropout, the one-step...
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关键词
discrete time systems,Kalman filters,mean square error methods,nonlinear filters,stochastic systems,covariance matrices,target tracking,compensation,nonlinear control systems,statistical distributions,random processes
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