BOOK-CHAPTER

Performance of particle filtering algorithm employed in dynamic cooperative positioning system

Abstract

In this paper, we propose to do a dynamic assumption to the existing scenario. Using particle filter, we can give an accurate estimation of devices' position and velocity. Due to the extension of the terminal state, corresponding improvements at resampling step is proposed for the PF algorithm.

Keywords:
Particle filter Computer science Algorithm Particle (ecology) Dynamic positioning Artificial intelligence Engineering Kalman filter Geology Marine engineering

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Topics

Energy Efficient Wireless Sensor Networks
Physical Sciences →  Computer Science →  Computer Networks and Communications

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