DocumentCode
2185972
Title
Improved least-squares methods for source localization: An iterative Re-weighting approach
Author
Ismailova, Darya ; Lu, Wu-Sheng
Author_Institution
Electrical and Computer Engineering, University of Victoria, BC, Canada
fYear
2015
fDate
21-24 July 2015
Firstpage
665
Lastpage
669
Abstract
Locating a radiating source from range or range-difference measurements in a passive sensor network has recently attracted an increasing amount of research interest as it finds applications in a wide range of network-based wireless systems. Striking results for these localization problems have emerged using squared range (SR-LS) or squared range-difference (SRD-LS) least-squares (LS) approaches. In this paper, we present improved LS methods that demonstrate improved localization performance when compared with the best known results from the literature.
Keywords
Iterative methods; Least squares approximations; Linear programming; Maximum likelihood estimation; Noise measurement; Signal processing algorithms; Newton algorithm; generalized trust region subproblems (GTRS); improved globally optimal solution; iterative re-weighting; least squares; non-convex; range measurements; range-difference measurements; source localization;
fLanguage
English
Publisher
ieee
Conference_Titel
Digital Signal Processing (DSP), 2015 IEEE International Conference on
Conference_Location
Singapore, Singapore
Type
conf
DOI
10.1109/ICDSP.2015.7251958
Filename
7251958
Link To Document