DocumentCode
3607236
Title
Wireless Access Point Localization Using Nonlinear Least Squares and Multi-Level Quality Control
Author
Yuan Zhuang ; You Li ; Haiyu Lan ; Syed, Zainab ; El-Sheimy, Naser
Author_Institution
Univ. of Calgary, Calgary, AB, Canada
Volume
4
Issue
6
fYear
2015
Firstpage
693
Lastpage
696
Abstract
Locations of WiFi access points (APs) are important for WiFi positioning when a propagation model is used. The pre-surveyed propagation parameters, such as the path-loss exponent, are usually not available when localizing the APs in a new environment. This letter introduces a novel method that estimates the AP locations and the parameters of the received signal strength (RSS) propagation model simultaneously using the weighted nonlinear least squares (NLLS) method. This method can run on consumer portable devices autonomously in real time without any a-priori information, and eliminate the need of pre-survey. Another contribution of this letter is to introduce a multi-level quality control mechanism, and utilize the statistical testing method in AP localization and propagation parameters (PPs) determination for the first time. Indoor experiments show that the proposed method provided more promising results than previous methods.
Keywords
RSSI; least squares approximations; radiowave propagation; statistical testing; wireless LAN; RSS propagation model parameter; Wi-Fi access point location; Wi-Fi positioning; consumer portable device; multilevel quality control; received signal strength propagation model parameter; statistical testing method; weighted nonlinear least squares method; wireless access point localization; Covariance matrices; Global Positioning System; IEEE 802.11 Standard; Indoor environments; Quality control; Wireless communication; AP localization; WiFi; multi-level quality control; propagation model; statistical testing; weighted NLLS;
fLanguage
English
Journal_Title
Wireless Communications Letters, IEEE
Publisher
ieee
ISSN
2162-2337
Type
jour
DOI
10.1109/LWC.2015.2483509
Filename
7283563
Link To Document