文章基本信息

标题：A METHODOLOGY FOR MULTIPLE OBJECT TRAJECTORY PREDICTION IN AIRPORT ENVIRONMENT
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作者：HAMZA TAHERI ; AMINA EL GENNOUNI ; ABDELOUAHID LYHYAOUI 等
期刊名称：Journal of Theoretical and Applied Information Technology
印刷版ISSN：1992-8645
电子版ISSN：1817-3195
出版年度：2019
卷号：97
期号：13
页码：3604-3615
出版社：Journal of Theoretical and Applied
摘要：In Airport environment no single sensor system is capable to fulfil the requirement of tracking and identifying all types of moving objects. Recent years have witnessed the deployments of Wireless Sensor Networks (WSNs) for many critical applications such as security surveillance and target tracking. This technology can help to meet the airport surveillance requirements at a lower cost, being especially interesting for small airports, and to fill radar coverage gaps at larger ones. This paper proposes a global and integrated solution using acoustic sensors to predict target trajectories and prevent collisions critical areas of the airport environment. The proposed system represents a low-cost effective surveillance technology for locating and tracking moving objects, by using a more up-to-date wireless sensor network and tracking algorithms. The preferred system could eventually be an alternative to surface movement primary radar (SMR) which is the most widely used in the world to track airport ground movements. The proposed tracking system uses a special form of PHD filter and particle filter to accurately track multiple targets.
关键词：WSN; Particle filter; GM;PHD filter; Tracking; A;SMGCS; Airport