Skip to main content
U.S. flag

An official website of the United States government

Official websites use .gov
A .gov website belongs to an official government organization in the United States.

Secure .gov websites use HTTPS
A lock ( ) or https:// means you’ve safely connected to the .gov website. Share sensitive information only on official, secure websites.

A Robust Model-Based Approach to Indoor Positioning Using Signal Strength

Published

Author(s)

Kamran Sayrafian, Dominik Kasper

Abstract

A simple technique to estimate the position of a mobile node inside a building is based on the Received Signal Strength (RSS). In previous publications, we investigated the effectiveness of using circular array antennas and beamforming in order to enable an access point to estimate the position of a mobile inside a building. We also discussed the feasibility of using modeled based radio map in reducing the need for extensive offline measurements. In this paper, a positioning algorithm based on the relative order of the received signal strengths is discussed. This algorithm in conjunction with the ray-tracing propagation model can have promising performance for indoor environments and essentially eliminates the needs for extensive set of a priori training.
Conference Dates
September 15-18, 2008
Conference Location
Cannes, French Riviera, FR
Conference Title
The 18th Annual IEEE International Symposium on Personal, Indoor and Mobile Radio Communications

Keywords

Beamforming, Indoor Positioning, Ray-Tracing

Citation

Sayrafian, K. and Kasper, D. (2008), A Robust Model-Based Approach to Indoor Positioning Using Signal Strength, The 18th Annual IEEE International Symposium on Personal, Indoor and Mobile Radio Communications, Cannes, French Riviera, FR, [online], https://tsapps.nist.gov/publication/get_pdf.cfm?pub_id=152168 (Accessed July 21, 2024)

Issues

If you have any questions about this publication or are having problems accessing it, please contact reflib@nist.gov.

Created September 9, 2008, Updated February 19, 2017