PCA positioning sensor characterization for Terrain Based Navigation of UVs

Abstract

Principal Component Analysis has been recently proposed as a nonlinear positioning sensor in the development of tools for Terrain Based Navigation of Underwater Vehicles [10]. In this work the error sources affecting the proposed unsupervised methodology will be enumerated, the stochastic characterization will be studied, and the attainable performance will be discussed. Based on a series of Monte Carlo experiments for a large set of synthesized terrains, conclusions will be drawn on the adequacy of the proposed nonlinear approach. © Springer-Verlag Berlin Heidelberg 2005.