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

Kai-Ge Zhang, Yu-Long Qiao, Chaozhu Zhang
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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.
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基于自适应多模型滤波的ADS-B系统轨迹跟踪
ADS-B是一种协作监视技术,它不仅可以广播位置信息,还可以广播速度、状态和TCP(弹道变化点)信息,可用于目标监视。本文尝试利用多模型方法来增强滤波功能。通过仿真,我们发现采用多模型方法是合理的,并提出了统一的模式结构,有利于提高计算效率和参数自适应调制。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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