NDLI: Bayesian methodology for target tracking using combined RSS and AoA measurements

Content Provider	Scilit
Author	Tomic, Slavisa Beko, Marko Dinis, Rui Tuba, Milan Bacanin, Nebojsa
Copyright Year	2017
Description	Journal: Physical Communication
Related Links	http://recil.grupolusofona.pt/bitstream/10437/9738/1/PhyCom_Published_Version_November_2017.pdf
Ending Page	166
Page Count	9
Starting Page	158
ISSN	18744907
DOI	10.1016/j.phycom.2017.10.005
Journal	Physical Communication
Volume Number	25
Language	English
Publisher	Elsevier BV
Publisher Date	2017-12-01
Access Restriction	Open
Subject Keyword	Journal: Physical Communication Industrial Engineering Target Tracking Received Signal Strength (rss) Angle of Arrival (aoa) Maximum a Posteriori (map) Estimator Kalman Filter (kf) Extended Kf (ekf) Unscented Kf (ukf) Particle Filter (pf)
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering

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Bayesian methodology for target tracking using combined RSS and AoA measurements