A genetic optimization resampling based particle filtering
algorithm for indoor target tracking

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A genetic optimization resampling based particle filtering algorithm for indoor target tracking

In indoor target tracking based on wireless sensor networks, the particle filtering algorithm has been widely used because of its outstanding performance in coping with highly nonlinear problems. Resampling is generally required to address the inherent particle degeneracy problem in the particle fil...

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Bibliographic Details
Main Authors:	Zhou, Ning, Lau, Lawrence, Bai, Ruibin, Moore, Terry
Format:	Article
Language:	English
Published:	MDPI 2021
Subjects:	genetic algorithm; indoor positioning; particle filter; particle impoverishment; resampling; target tracking
Online Access:	https://eprints.nottingham.ac.uk/64243/

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