INVESTIGATION OF ADVANCED NON-LINEAR CONTROL AND ESTIMATION ALGORITHM FOR ROCKET BASED APPLICATIONS
Abstract
Online Object tracking is an important task in radar and sonar signal processing As it  is a challenging problem due to the presence of noise, and dynamic changes. a variety of Stochastic algorithms for tracking targets have been proposed and implemented to reach  these challenges. Approaches towards  highly nonlinear applications is an   advanced  task . In this paper, we devote the effort to use the Particle Filtering with estimation of various states of a vehicle launched from an idealized spherical, airless, non-rotating earth to improve tracking efficiency. The simulation results show that the PF improved the tracking performance compared to the Kalman based Filters (EKF, UKF) for the rocket launch application.
Published
01-01-2017
How to Cite
JAWAHAR A, & VISHNU CHAKRAVARTHI CH. (2017). INVESTIGATION OF ADVANCED NON-LINEAR CONTROL AND ESTIMATION ALGORITHM FOR ROCKET BASED APPLICATIONS. Innovare Journal of Engineering and Technology, 5(1), 38–40. Retrieved from https://innovareacademics.in/journals/index.php/ijet/article/view/15992
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Original Article(s)