Uplink positioning architecture and algorithm for femtocell networks

Author

Mar, J. ; Liu, C.C. ; Liu, G.Y. ; Basnet, Modick

Author_Institution

Dept. of Commun. Eng., Yuan-Ze Univ., Jungli, Taiwan

fYear

2015

fDate

7-10 July 2015

Firstpage

249

Lastpage

253

Abstract

This paper proposed an uplink positioning algorithm of adaptive extended Kalman filter (AEKF) aided with time difference of arrival (TDOA) measurements between the pairs of four eNBs for estimating the position of moving user equipment (MUE). The concept of cloud-assisted femtocell network to determine the optimally distributed four eNode Bs (eNBs) is provided in order to guarantee the accuracy of UE position estimations. In addition, t he location accuracy of the AEKF using 4-eNB TDOA is compared with hybrid TDOA and direction of arrival (DOA).

Keywords

Kalman filters; femtocellular radio; nonlinear filters; time-of-arrival estimation; AEKF; MUE; TDOA measurement; adaptive extended Kalman filter; cloud-assisted femtocell network; direction of arrival; femtocell networks; moving user equipment; time difference of arrival; uplink positioning architecture; Direction-of-arrival estimation; Global Positioning System; IP networks; Kalman filters; Sensors; Trajectory; adaptive extended Kalman filter; cloud computing; femtocell network; uplink positioning;

fLanguage

English

Publisher

ieee

Conference_Titel

Ubiquitous and Future Networks (ICUFN), 2015 Seventh International Conference on

Conference_Location

Sapporo

ISSN

2288-0712

Type

conf

DOI

10.1109/ICUFN.2015.7182544

Filename

7182544