Title :
Robust localization in sensor networkswith iterative majorization techniques
Author :
Korkmaz, Sayit ; Van der Veen, Alle-Jan
Author_Institution :
Fac. EEMCS, Tech. Univ. Delft, Delft
Abstract :
Self localization in sensor networks with measurements that include outliers is an important problem. E.g., distance measurements based on non-line-of-sight observations can be quite wrong. If not handled properly, such outliers can greatly influence the positioning accuracy. To achieve robustness we consider positioning with Huber estimators. The Huber cost function interpolates between the lscr1 and the lscr2 norms. The minimization of the Huber cost function can be efficiently obtained via iterative majorization techniques, with the advantageous property of guaranteed convergence to a local minimum.
Keywords :
interpolation; iterative methods; wireless sensor networks; Huber estimators; distance measurements; iterative majorization techniques; non-line-of-sight observations; robust localization; self localization; sensor networks; Computational complexity; Convergence; Cost function; Distance measurement; Intelligent networks; Iterative algorithms; Least squares methods; Multidimensional systems; Robustness; Statistics; Huber cost function; Iterative majorization; localization; robust location estimation; sensor networks; time-of-arrival;
Conference_Titel :
Acoustics, Speech and Signal Processing, 2009. ICASSP 2009. IEEE International Conference on
Conference_Location :
Taipei
Print_ISBN :
978-1-4244-2353-8
Electronic_ISBN :
1520-6149
DOI :
10.1109/ICASSP.2009.4960017