Title :
S-estimators in mapping applications
Author :
Sequeira, João ; Tsourdos, Antonios ; Shin, Hyo-Sang
Author_Institution :
Inst. Super. Tecnico, Tech. Univ. of Lisbon, Lisbon, Portugal
Abstract :
This paper discusses a class of S-estimators for covariance matrices applied to a mapping application. Two alternative solution methods are discussed, namely using an iterative formulation described in the literature, and an optimization formulation. Simulation results on a mapping example are presented to illustrate the discussion.
Keywords :
covariance matrices; estimation theory; iterative methods; optimisation; signal processing; S-estimators; covariance matrices; iterative formulation; mapping applications; optimization formulation; Educational institutions; Estimation; Optimization; Robustness; Sensors; Uncertainty; Vectors; Mapping; S-estimator;
Conference_Titel :
Information Fusion (FUSION), 2012 15th International Conference on
Conference_Location :
Singapore
Print_ISBN :
978-1-4673-0417-7
Electronic_ISBN :
978-0-9824438-4-2
