TY - GEN
T1 - WiFi Fingerprint Based Indoor Localization with Iterative Weighted KNN for WiFi AP Missing
AU - Wang, Donglin
AU - Zhao, Feng
AU - Wang, Ting
AU - Zhang, Xuetao
N1 - Publisher Copyright:
© 2018 IEEE.
PY - 2018/7/2
Y1 - 2018/7/2
N2 - In this paper, a real WiFi fingerprint-based indoor localization system is considered, where three primary components including the APP in smart phone, the server system and the embedded localization algorithm, have been designed. This paper proposes a dedicated data preprocessing algorithm to solve the singular-collection problem. Furthermore, the issue of WiFi access point (AP) missing is discussed and the theoretical analysis is presented under the condition of a two-AP scenario. Finally, because of unequal amount of location information contained in received signal strength (RSS) from different AP, the weighted RSS (WRSS) and the iterative weighted K nearest neighbor (IWKNN) algorithm are proposed for localization. Experimental results shows the proposed scheme achieves a competitive localization accuracy.
AB - In this paper, a real WiFi fingerprint-based indoor localization system is considered, where three primary components including the APP in smart phone, the server system and the embedded localization algorithm, have been designed. This paper proposes a dedicated data preprocessing algorithm to solve the singular-collection problem. Furthermore, the issue of WiFi access point (AP) missing is discussed and the theoretical analysis is presented under the condition of a two-AP scenario. Finally, because of unequal amount of location information contained in received signal strength (RSS) from different AP, the weighted RSS (WRSS) and the iterative weighted K nearest neighbor (IWKNN) algorithm are proposed for localization. Experimental results shows the proposed scheme achieves a competitive localization accuracy.
UR - https://www.scopus.com/pages/publications/85064952244
U2 - 10.1109/VTCFall.2018.8690648
DO - 10.1109/VTCFall.2018.8690648
M3 - 会议稿件
AN - SCOPUS:85064952244
T3 - IEEE Vehicular Technology Conference
BT - 2018 IEEE 88th Vehicular Technology Conference, VTC-Fall 2018 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 88th IEEE Vehicular Technology Conference, VTC-Fall 2018
Y2 - 27 August 2018 through 30 August 2018
ER -