DocumentCode
2118992
Title
Indoor navigation using WiFi for smartphones: An improved Kalman filter based approach
Author
Chirakkal, Vinjohn V. ; Myungchul Park ; Dong Seog Han
Author_Institution
Kyungpook Nat. Univ., Daegu, South Korea
fYear
2015
fDate
9-12 Jan. 2015
Firstpage
82
Lastpage
83
Abstract
This paper proposes an indoor navigation technique for a smartphone using WiFi. An improved Kalman filter (IKF) is proposed to navigate in dynamic indoor environments with the fingerprinting technique. The results indicate that the IKF shows improved accuracy when compared to the conventional Kalman filter in a real-time scenario.
Keywords
Kalman filters; indoor navigation; smart phones; wireless LAN; IKF; dynamic indoor environments; fingerprinting technique; improved Kalman filter based approach; indoor navigation technique; smartphone; Accuracy; Fingerprint recognition; IEEE 802.11 Standards; Indoor environments; Kalman filters; Navigation; Smart phones;
fLanguage
English
Publisher
ieee
Conference_Titel
Consumer Electronics (ICCE), 2015 IEEE International Conference on
Conference_Location
Las Vegas, NV
Print_ISBN
978-1-4799-7542-6
Type
conf
DOI
10.1109/ICCE.2015.7066328
Filename
7066328
Link To Document