Target Tracking of a Linear Time Invariant System under Irregular Sampling | Zendy

Xuebo Jin | Zendy; Jingjing Du | Zendy; Jia Bao | Zendy

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Target Tracking of a Linear Time Invariant System under Irregular Sampling

Author(s) -

Xuebo Jin,

Jingjing Du,

Jia Bao

Publication year - 2012

Publication title -

international journal of advanced robotic systems

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.394

H-Index - 46

eISSN - 1729-8814

pISSN - 1729-8806

DOI - 10.5772/54471

Subject(s) - computer science , kalman filter , tracking (education) , sampling (signal processing) , tracking system , lti system theory , trajectory , algorithm , exponential function , importance sampling , computer vision , artificial intelligence , control theory (sociology) , linear system , filter (signal processing) , mathematics , statistics , psychology , mathematical analysis , pedagogy , physics , control (management) , astronomy , monte carlo method

Due to event‐triggered sampling in a system, or maybe with the aim of reducing data storage, tracking many applications will encounter irregular sampling time. By calculating the matrix exponential using an inverse Laplace transform, this paper transforms the irregular sampling tracking problem to the problem of tracking with time‐varying parameters of a system. Using the common Kalman filter, the developed method is used to track a target for the simulated trajectory and video tracking. The results of simulation experiments have shown that it can obtain good estimation performance even at a very high irregular rate of measurement sampling time

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