Improvement of multilateration (MLAT) accuracy and convergence for airport surveillance

Author

Mantilla-G, Ivan A. ; Balbastre-T, Juan V. ; De los Reyes, Elías ; Leonardi, Mauro ; Galati, Gaspare

Author_Institution

Inst. ITACA, Univ. Politec. de Valencia, Valencia, Spain

fYear

2011

fDate

12-14 Sept. 2011

Firstpage

185

Lastpage

190

Abstract

In this paper, we study, evaluate and develop the use of regularization methods to solve the location problem in multilateration systems using Mode-S signals. The Tikhonov method has been implemented as a first application to solve the classical system of hyperbolic equations in multilateration systems. Some simulations are obtained and the results are compared with those obtained by the well established Taylor linearization and with the Cramér-Rao Lower Bound analysis. Significant improvements are found for the application of Tikhonov method.

Keywords

air traffic control; airports; hyperbolic equations; surveillance; Cramer-Rao lower bound analysis; Taylor linearization; Tikhonov method; airport surveillance; hyperbolic equations; location problem; multilateration accuracy; regularization methods; Accuracy; Airports; Convergence; Covariance matrix; Geometry; Inverse problems; Mathematical model; air traffic control; localization; multilateration; regularization methods;

fLanguage

English

Publisher

ieee

Conference_Titel

Digital Communications - Enhanced Surveillance of Aircraft and Vehicles (TIWDC/ESAV), 2011 Tyrrhenian International Workshop on

Conference_Location

Capri

Print_ISBN

978-1-4244-9841-3

Electronic_ISBN

978-88-903482-3-5

Type

conf

Filename

6060986