Trajectory Tracking Using Auto-adaptive Multi-model Filtering Method in ADS-B System
Robot, Vision and Signal Processing（2013）
摘要
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.
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关键词
multi-model method,target surveillance,cooperating surveillance technology,autoadaptive multimodel filtering method,ads-b system,unified modes structure,computing efficiency,auto-adaptive multi-model filtering method,auto-adaptation,filtering function,tcp,surveillance,surveillance technology,adaptive filters,position message,object tracking,trajectory tracking,parameter auto-adaptive modulation,automatic dependent surveillance-broadcast system,automatic dependent surveillance-broadcast,unified structure,trajectory change point,kalman filtering,automatic dependent surveillance broadcast,mathematical model,atmospheric modeling,computational modeling,filtering
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