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.
['Jesse D. Reed', 'R. Michael Buehrer', 'Claudio R. C. M. da Silva']
An Optimization Approach to Single-Source Localization Using Direction and Range Estimates