An Indoor Localization Algorithm Based on Modified Joint Probabilistic Data Association for Wireless Sensor Network

Due to the localization accuracy of global positioning system (GPS) cannot meet the requirements in indoor environment, the wireless sensor network (WSN) techniques are efficient methods to cope with this problem. The WSN-based indoor localization techniques have become effective methods to solve th...

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Vydáno v:	IEEE transactions on industrial informatics Ročník 17; číslo 1; s. 63 - 72
Hlavní autoři:	Cheng, Long, Li, Yifan, Xue, Mingkun, Wang, Yan
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Piscataway IEEE 01.01.2021 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Témata:	Accuracy Algorithms Approximation algorithms Distance measurement Extended Kalman filter Extended Kalman filter (EKF) Global Positioning System Global positioning systems GPS Indoor environments indoor localization Kalman filters Line of sight Localization modified joint probabilistic data association (MJPDA) nonline-of-sight (NLOS) Occlusion Probabilistic logic Probability theory wireless sensor network (WSN) Wireless sensor networks
ISSN:	1551-3203, 1941-0050
On-line přístup:	Získat plný text
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