Abstract: The present invention relates to a new method for localization, i.e. finding positions and orientations of nodes communicating in wireless networks. The method is based on using directional information (angle-of-arrival, AOA), and optionally distance information, combined with estimation by recursive filters such as e.g., Kaiman filters, recursive least squares filters, Bayesian filters, or particle filters. The method expresses the localization problem as set of linear equations and ensures stability and convergence by imposing a partial order on the nodes.
Type:
Grant
Filed:
March 27, 2009
Date of Patent:
December 4, 2012
Assignee:
SICS, Swedish Institute of Computer Science AB
Abstract: The present invention relates to a new method for localization, i.e. finding positions and orientations of nodes communicating in wireless networks. The method is based on using directional information (angle-of-arrival, AOA), and optionally distance information, combined with estimation by recursive filters such as e.g, Kaiman filters, recursive least squares filters, Bayesian filters, or particle filters. The method expresses the localization problem as set of linear equations and ensures stability and convergence by imposing a partial order on the nodes.
Type:
Application
Filed:
March 27, 2009
Publication date:
May 5, 2011
Applicant:
SICS, Swedish Institute of Computer Science AB