An optimization approach to single-source localization using direction and range estimates

Authors:
Jesse D. Reed;R. Michael Buehrer;Claudio R. C. M. Da Silva
Affiliations:
Virginia Polytechnic Institute and State University;Virginia Polytechnic Institute and State University;Virginia Polytechnic Institute and State University
Venue:
GLOBECOM'09 Proceedings of the 28th IEEE conference on Global telecommunications
Year:
2009

Citing 2
Cited 0

Linear programming and network flows (2nd ed.)

Linear programming and network flows (2nd ed.)
A linear programming approach to NLOS error mitigation in sensor networks

Proceedings of the 5th international conference on Information processing in sensor networks

Quantified Score

Hi-index	0.00

Visualization

Abstract

This paper presents novel single-source localization techniques for a sensor network that is capable of obtaining both direction and range estimates by considering an optimization approach. Specifically, linear programming and non-linear programming techniques are developed and compared to a classic linear least squares technique. It is shown that the proposed techniques achieve superior results to the least squares approach in most cases.