Trajectory Tracking Using Auto-adaptive Multi-model Filtering Method in ADS-B System

Author

Kai-Ge Zhang ; Yu-Long Qiao ; Chao-Zhu Zhang

Author_Institution

Coll. of Inf. & Commun., Harbin Eng. Univ., Harbin, China

fYear

2013

fDate

10-12 Dec. 2013

Firstpage

93

Lastpage

97

Abstract

ADS-B is a cooperating surveillance technology which can broadcast not only the position messages, but also the velocity, status and TCP (Trajectory Change Point) which could be used for target surveillance. This paper tries to utilize the multi-model method to enhance the filtering function. Through the simulation, we find it is reasonable to use the multi-model method and we also propose the unified modes structure which will benefit the computing efficiency and the parameter auto-adaptive modulation.

Keywords

adaptive filters; object tracking; surveillance; ADS-B system; TCP; autoadaptive multimodel filtering method; automatic dependent surveillance-broadcast system; cooperating surveillance technology; filtering function; parameter auto-adaptive modulation; trajectory change point; trajectory tracking; Adaptation models; Atmospheric modeling; Computational modeling; Filtering; Mathematical model; Standards; Surveillance; Automatic dependent surveillance-broadcast; Kalman filtering; auto-adaptation; trajectory tracking; unified structure;

fLanguage

English

Publisher

ieee

Conference_Titel

Robot, Vision and Signal Processing (RVSP), 2013 Second International Conference on

Conference_Location

Kitakyushu

Print_ISBN

978-1-4799-3183-5

Type

conf

DOI

10.1109/RVSP.2013.28

Filename

6829988