Design of an A-SMGCS prototype at Barajas airport: airport surveillance sensors bias estimation

Abstract

This paper describes the design and implementation of a bias estimation system for airport surveillance. If not correctly calibrated, systematic errors may lead to track instability, and even to track splitting. Airport safety demands for very stable and accurate tracking, and so addressing this problem is mandatory if a data fusion system is to be used in operational procedures. The paper describes the design of an innovative sensor bias estimation system, and the practical issues related with its integration in the data processing chain. The simulation based results show estimators rapid convergence, and how the inclusion of these methods improves overall tracking performance.