Position estimation from direction or range measurements

Abstract This paper revisits the problems of estimating the position of an object moving in n ( ≥ 2 )-dimensional Euclidean space using velocity measurements and either direction or range measurements of one or multiple source points. The proposed solutions exploit the Continuous Riccati Equation (CRE) to calculate observer gains yielding global uniform exponential stability of zero estimation errors, also when the measured velocity is biased by an unknown constant vector or when range measurements are corrupted by an unknown constant bias. With respect to prior contributions on these subjects they provide a coherent generalization of existing solutions with the preoccupation of pointing out general and explicit persistent excitation (p.e.) conditions whose satisfaction ensures uniform exponential stability of the observers.

[1]  Robert E. Mahony,et al.  Observer design for position and velocity bias estimation from a single direction output , 2015, 2015 54th IEEE Conference on Decision and Control (CDC).

[2]  Timothy H. Dixon,et al.  An introduction to the global positioning system and some geological applications , 1991 .

[3]  Jean-Claude Vivalda,et al.  On the boundedness of the solutions of the continuous Riccati equation , 2001 .

[4]  Glauco Garcia Scandaroli Fusion de données visuo-inertielles pour l'estimation de pose et l'autocalibrage , 2013 .

[5]  Chi-Tsong Chen,et al.  Linear System Theory and Design , 1995 .

[6]  Carlos Silvestre,et al.  Globally exponentially stable filters for source localization and navigation aided by direction measurements , 2013, Syst. Control. Lett..

[7]  J. Gauthier,et al.  Erratum Observability and Observers for Nonlinear Systems , 1995 .

[8]  Carlos Silvestre,et al.  Single range navigation in the presence of constant unknown drifts , 2009, 2009 European Control Conference (ECC).

[9]  Brian D. O. Anderson,et al.  A continuous time linear adaptive source localization algorithm, robust to persistent drift , 2009, Syst. Control. Lett..

[10]  Carlos Silvestre,et al.  Sensor‐Based Long Baseline Navigation: Observability Analysis and Filter Design , 2014 .

[11]  Dirk Aeyels,et al.  Asymptotic stability for time-variant systems and observability: Uniform and nonuniform criteria , 1998, Math. Control. Signals Syst..

[12]  Carlos Silvestre,et al.  Navigation systems based on multiple bearing measurements , 2015, IEEE Transactions on Aerospace and Electronic Systems.

[13]  Tarek Hamel,et al.  Riccati observers for position and velocity bias estimation from either direction or range measurements , 2016, ArXiv.

[14]  G. Besançon An Overview on Observer Tools for Nonlinear Systems , 2007 .

[15]  Carlos Silvestre,et al.  Single range aided navigation and source localization: Observability and filter design , 2011, Syst. Control. Lett..