Title :
Outlier Resistance Estimator for GPS Positioning
Author :
Jwo, Dah-Jing ; Chang, Shun-Jie
Author_Institution :
Nat. Taiwan Ocean Univ., Keelung
Abstract :
This paper discusses the implementation aspects of L1 and Linfin criteria, and their outlier resistance performance for GPS positioning. Three ordinary differential equation formulation schemes and corresponding circuits of neuron-like analogue L1 (least-absolute), Linfin (minimax), and L2 (least-squares) processors will be employed for GPS navigation processing. The circuits of simple neuron-like analogue processors are employed essentially for solving systems of linear equations. Experiments on single epoch and thereafter kinematic positioning will be conducted by computer simulation for investigating the outlier resistance performance for the least-absolute and minimax schemes as compared to the one provided by the least-squares scheme.
Keywords :
Global Positioning System; analogue circuits; differential equations; least squares approximations; minimax techniques; GPS positioning; Global Positioning System; differential equation formulation; least-square scheme; linear equation; minimax scheme; neuron-like analogue processor; outlier resistance estimator; Circuits; Computer simulation; Differential equations; Global Positioning System; Kinematics; Maximum likelihood estimation; Minimax techniques; Neural networks; Robustness; Satellite navigation systems;
Conference_Titel :
Systems, Man and Cybernetics, 2006. SMC '06. IEEE International Conference on
Conference_Location :
Taipei
Print_ISBN :
1-4244-0099-6
Electronic_ISBN :
1-4244-0100-3
DOI :
10.1109/ICSMC.2006.384460