Title :
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
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;
Conference_Titel :
Global Telecommunications Conference, 2009. GLOBECOM 2009. IEEE
Conference_Location :
Honolulu, HI
Print_ISBN :
978-1-4244-4148-8
DOI :
10.1109/GLOCOM.2009.5425261
