Title :
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
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;
Conference_Titel :
Robot, Vision and Signal Processing (RVSP), 2013 Second International Conference on
Conference_Location :
Kitakyushu
Print_ISBN :
978-1-4799-3183-5
DOI :
10.1109/RVSP.2013.28
