We present a general scheme for analyzing the performance of a generic localization algorithm for multilateration (MLAT) systems (or for other distributed sensor, passive localization technology). MLAT systems are used for airport surface surveillance and are based on time difference of arrival measurements of Mode S signals (replies and 1,090 MHz extended squitter, or 1090ES). In the paper, we propose to consider a localization algorithm as composed of two components: a data model and a numerical method, both being properly defined and described. In this way, the performance of the localization algorithm can be related to the proper combination of statistical and numerical performances. We present and review a set of data models and numerical methods that can describe most localization algorithms. We also select a set of existing localization algorithms that can be considered as the most relevant, and we describe them under the proposed classification. We show that the performance of any localization algorithm has two components, i.e., a statistical one and a numerical one. The statistical performance is related to providing unbiased and minimum variance solutions, while the numerical one is related to ensuring the convergence of the solution. Furthermore, we show that a robust localization (i.e., statistically and numerically efficient) strategy, for airport surface surveillance, has to be composed of two specific kind of algorithms. Finally, an accuracy analysis, by using real data, is performed for the analyzed algorithms; some general guidelines are drawn and conclusions are provided. © 2014 Springer-Verlag London.

Mantilla Gaviria, I., Leonardi, M., Galati, G., Balbastre Tejedor, J. (2015). Localization algorithms for multilateration (MLAT) systems in airport surface surveillance. SIGNAL, IMAGE AND VIDEO PROCESSING, 9(7), 1549-1558 [10.1007/s11760-013-0608-1].

Localization algorithms for multilateration (MLAT) systems in airport surface surveillance

LEONARDI, MAURO;GALATI, GASPARE;
2015-10-26

Abstract

We present a general scheme for analyzing the performance of a generic localization algorithm for multilateration (MLAT) systems (or for other distributed sensor, passive localization technology). MLAT systems are used for airport surface surveillance and are based on time difference of arrival measurements of Mode S signals (replies and 1,090 MHz extended squitter, or 1090ES). In the paper, we propose to consider a localization algorithm as composed of two components: a data model and a numerical method, both being properly defined and described. In this way, the performance of the localization algorithm can be related to the proper combination of statistical and numerical performances. We present and review a set of data models and numerical methods that can describe most localization algorithms. We also select a set of existing localization algorithms that can be considered as the most relevant, and we describe them under the proposed classification. We show that the performance of any localization algorithm has two components, i.e., a statistical one and a numerical one. The statistical performance is related to providing unbiased and minimum variance solutions, while the numerical one is related to ensuring the convergence of the solution. Furthermore, we show that a robust localization (i.e., statistically and numerically efficient) strategy, for airport surface surveillance, has to be composed of two specific kind of algorithms. Finally, an accuracy analysis, by using real data, is performed for the analyzed algorithms; some general guidelines are drawn and conclusions are provided. © 2014 Springer-Verlag London.
26-ott-2015
Pubblicato
Rilevanza internazionale
Articolo
Esperti anonimi
Settore ING-INF/03 - TELECOMUNICAZIONI
English
Con Impact Factor ISI
http://link.springer.com/article/10.1007%2Fs11760-013-0608-1
Mantilla Gaviria, I., Leonardi, M., Galati, G., Balbastre Tejedor, J. (2015). Localization algorithms for multilateration (MLAT) systems in airport surface surveillance. SIGNAL, IMAGE AND VIDEO PROCESSING, 9(7), 1549-1558 [10.1007/s11760-013-0608-1].
Mantilla Gaviria, I; Leonardi, M; Galati, G; Balbastre Tejedor, J
Articolo su rivista
File in questo prodotto:
File Dimensione Formato  
10.1007_s11760-013-0608-1.pdf

accesso aperto

Licenza: Creative commons
Dimensione 498.62 kB
Formato Adobe PDF
498.62 kB Adobe PDF Visualizza/Apri

Questo articolo è pubblicato sotto una Licenza Licenza Creative Commons Creative Commons

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2108/97742
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 45
  • ???jsp.display-item.citation.isi??? 25
social impact