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An ADS-B Trajectory Segmentation Correction Algorithm Based on Improved Kalman Filtering
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Affiliation of Author(s):民航学院

Journal:PROCEEDINGS OF THE 2017 INTERNATIONAL CONFERENCE ON APPLIED MATHEMATICS, MODELING AND SIMULATION (AMMS 2017)

Key Words:component ADS-B surveillance systems trajectory correction segmentation CA/CV model

Abstract:The Automatic Dependent Surveillance-Broadcast (ADS-B) with the advantage of faster update speed of the data, wider range of detection and sharing of traffic information. It has been regarded as one of the future mainstream surveillance systems by the International Civil Aviation Organization. This paper presents the conception, development and application of ADS-B. It also analyses the feature of the radar trajectory and ADS-B trajectory. Using CA/CV model, a new method based on improved Kalman filter to correct ADS-B trajectory is proposed to evaluate the surveillance performance based on trajectory segmentation, which is able to assess the integrity and accuracy of ADS-B data. The simulation results demonstrate the effectiveness of the proposed method.

ISSN No.:1951-6851

Translation or Not:no

Date of Publication:2017-01-01

Co-author:Gong, Boyuan,Li, Wenbo

Correspondence Author:SHEN ZHIYUAN

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Associate Professor
Supervisor of Master's Candidates

Main positions:空管系副主任

Other Post:国际民航组织(ICAO)空管运行专家

Gender:Male

Alma Mater:哈尔滨工业大学

Education Level:哈尔滨工业大学

Degree:Doctoral Degree in Engineering

School/Department:College of Civil Aviation

Discipline:Other specialties in Safety Science and Engineering. Transportation Planning and Management. Transportation Information Engineering and Control

Business Address:民航楼604室

Contact Information:13951916587

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