TOA association based on an improved fuzzy clustering method in MLAT for A-SMGCS

Author

Yu Lu ; Changzhong Liu ; Zhengning Wang ; Zili Xu

Author_Institution

Coll. of Comput. Sci., Sichuan Normal Univ., Chengdu, China

Volume

1

fYear

2011

fDate

26-28 July 2011

Firstpage

554

Lastpage

558

Abstract

MLAT (Multilateration) is becoming one of the leading surveillance techniques in the A-SMGCS (Advanced - Surface Movement Guidance & Control System), and play an important role in the future´s tracking system. MLAT is based on the TDOA (Time Difference of Arrival). It is very important for MLAT to associate TOAs (Time of Arrival) from different ground stations. This paper designs an improved clustering method with elastic grouping logic to adaptively associate the TOAs. This method dynamically adjusts the group number based on the cost function. Experiment results show our improved method can not only increase correct association ratio, but also decrease the position error of MLAT.

Keywords

air traffic control; fuzzy logic; fuzzy set theory; pattern clustering; search radar; time-of-arrival estimation; A-SMGCS; MLA; PSR; SSR; TDOA; TOA association; advanced-surface movement guidance & control system; air traffic surveillance; cost function; elastic grouping logic; fuzzy clustering method; group number; multilateration; primary surveillance radar; second surveillance radar; surveillance techniques; time difference of arrival; time of arrival; Aircraft; Airports; Clustering methods; Cost function; Estimation; Surveillance; Traffic control; A-SMGCS (Advanced - Surface Movement Guidance & Control System); MLAT (Multilateration); TOA (Time of Arrival); fuzzy clustering;

fLanguage

English

Publisher

ieee

Conference_Titel

Fuzzy Systems and Knowledge Discovery (FSKD), 2011 Eighth International Conference on

Conference_Location

Shanghai

Print_ISBN

978-1-61284-180-9

Type

conf

DOI

10.1109/FSKD.2011.6019471

Filename

6019471