An Optimization Approach to Single-Source Localization Using Direction and Range Estimates

Author

Reed, Jesse D. ; Buehrer, R. Michael ; Da Silva, Claudio R C M

Author_Institution

Bradley Dept. of Electr. & Comput. Eng., Virginia Polytech. Inst. & State Univ., Blacksburg, VA, USA

fYear

2009

Firstpage

1

Lastpage

5

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.

Keywords

least squares approximations; linear programming; nonlinear programming; signal processing; wireless sensor networks; direction and range estimates; linear least squares technique; linear programming technique; nonlinear programming techniques; optimization approach; single-source localization techniques; wireless sensor network; Broadcasting; Cellular phones; Employment; Global Positioning System; Jamming; Least squares methods; Linear programming; Military communication; Optimization methods; State estimation;

fLanguage

English

Publisher

ieee

Conference_Titel

Global Telecommunications Conference, 2009. GLOBECOM 2009. IEEE

Conference_Location

Honolulu, HI

ISSN

1930-529X

Print_ISBN

978-1-4244-4148-8

Type

conf

DOI

10.1109/GLOCOM.2009.5425261

Filename

5425261