A Wireless Localization Algorithm Based on Strong Tracking Kalman Filter
Classical extended Kalman filter algorithm is often used to obtain dynamic estimation of nodes’ position in wireless localization. However, it is prone to generate error accumulation in the filtering process, and lead to filter divergence, which causes low accuracy. The paper explores a strong track...
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IFSA Publishing, S.L.
2014-12-01
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Online Access: | http://www.sensorsportal.com/HTML/DIGEST/december_2014/Vol_183/P_2557.pdf |
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doaj-6c0c58130a8b4ca38c39450c3a7f12122020-11-25T01:29:10ZengIFSA Publishing, S.L.Sensors & Transducers2306-85151726-54792014-12-0118312155161A Wireless Localization Algorithm Based on Strong Tracking Kalman FilterQinghui Wang0Wangyuan Huang1Li Feng Wei2Xiaomei Liu3Institute of Wireless Communication Technology, Shenyang University of Chemical Technology, Shenyang 110142, ChinaInstitute of Wireless Communication Technology, Shenyang University of Chemical Technology, Shenyang 110142, ChinaInstitute of Wireless Communication Technology, Shenyang University of Chemical Technology, Shenyang 110142, ChinaInstitute of Wireless Communication Technology, Shenyang University of Chemical Technology, Shenyang 110142, ChinaClassical extended Kalman filter algorithm is often used to obtain dynamic estimation of nodes’ position in wireless localization. However, it is prone to generate error accumulation in the filtering process, and lead to filter divergence, which causes low accuracy. The paper explores a strong tracking extended Kalman filter with algorithm a fading factor, which can adjust the gain K in real time, so as to ensure the adaptive adjustment of the new information sequence, as well as the dynamic tracking capability in indoor wireless localization. The experimental results show that the strong tracking extended Kalman filter algorithm has a better tracking capability on dynamic targets, leading to higher tracking accuracy and, smaller absolute error. http://www.sensorsportal.com/HTML/DIGEST/december_2014/Vol_183/P_2557.pdfStrong tracking filterExtended Kalman filter (EKF)Wireless localization. |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Qinghui Wang Wangyuan Huang Li Feng Wei Xiaomei Liu |
spellingShingle |
Qinghui Wang Wangyuan Huang Li Feng Wei Xiaomei Liu A Wireless Localization Algorithm Based on Strong Tracking Kalman Filter Sensors & Transducers Strong tracking filter Extended Kalman filter (EKF) Wireless localization. |
author_facet |
Qinghui Wang Wangyuan Huang Li Feng Wei Xiaomei Liu |
author_sort |
Qinghui Wang |
title |
A Wireless Localization Algorithm Based on Strong Tracking Kalman Filter |
title_short |
A Wireless Localization Algorithm Based on Strong Tracking Kalman Filter |
title_full |
A Wireless Localization Algorithm Based on Strong Tracking Kalman Filter |
title_fullStr |
A Wireless Localization Algorithm Based on Strong Tracking Kalman Filter |
title_full_unstemmed |
A Wireless Localization Algorithm Based on Strong Tracking Kalman Filter |
title_sort |
wireless localization algorithm based on strong tracking kalman filter |
publisher |
IFSA Publishing, S.L. |
series |
Sensors & Transducers |
issn |
2306-8515 1726-5479 |
publishDate |
2014-12-01 |
description |
Classical extended Kalman filter algorithm is often used to obtain dynamic estimation of nodes’ position in wireless localization. However, it is prone to generate error accumulation in the filtering process, and lead to filter divergence, which causes low accuracy. The paper explores a strong tracking extended Kalman filter with algorithm a fading factor, which can adjust the gain K in real time, so as to ensure the adaptive adjustment of the new information sequence, as well as the dynamic tracking capability in indoor wireless localization. The experimental results show that the strong tracking extended Kalman filter algorithm has a better tracking capability on dynamic targets, leading to higher tracking accuracy and, smaller absolute error.
|
topic |
Strong tracking filter Extended Kalman filter (EKF) Wireless localization. |
url |
http://www.sensorsportal.com/HTML/DIGEST/december_2014/Vol_183/P_2557.pdf |
work_keys_str_mv |
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_version_ |
1725098090064510976 |