Title :
Information geometry and tracking
Author_Institution :
Cassidian, Ulm, Germany
Abstract :
Information geometry results from combining geometry and statistics. It was found that there are several applications of this discipline in radar signal processing, e.g. CFAR or STAP processing. Another important topic in radar processing is the so called filtering respectively tracking topic. Tracking is the estimation of time series state vectors based on radar measurements and state prediction rules. This paper is devoted to information geometric aspects of these tracking techniques. The aim is to propose new applications, approximation techniques or geometric insights for radar tracking.
Keywords :
approximation theory; filtering theory; geometry; prediction theory; radar signal processing; radar tracking; state estimation; statistical analysis; time series; vectors; CFAR processing; STAP processing; approximation technique; filtering; information geometry; information tracking; radar measurement; radar signal processing; radar tracking; state prediction rule; statistics; time series state vector estimation; topic tracking; Estimation; Information geometry; Kalman filters; Manifolds; Radar tracking; Symmetric matrices;
Conference_Titel :
Radar Symposium (IRS), 2013 14th International
Print_ISBN :
978-1-4673-4821-8
