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Simulating Surveillance Options for the Canadian North

机译:模拟加拿大北部的监视选项

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摘要

As part of the overarching research goal to assess current and potential maritime information sources for use in maritime defence and security in the Canadian north, we examine whether wide-area surveillance data, as represented by Space-based Automatic Identification System (S-AIS) data, offers sufficient information for surveillance requirements in the Canadian north. If S-AIS data are not sufficient, we address how the additional information provided by Long-Range Identification and Tracking (LRIT) can be used to meet the surveillance requirements. A Systems Tool Kit (STK) simulation scenario is constructed that includes five exactEarth satellites collecting AIS data. Simulated AIS transmitters are positioned at 20 northern Canada ground locations. The results indicate that for each location, two thirds of the eight-day simulation is spent without a satellite within range, when using the five satellites. As the number of satellites decreases, intervals in the range of 80 to 105 minutes, during which there are no AIS messages received, increase in frequency. If the end-user requires vessel location information more often than S-AIS consistently provides, augmenting the S-AIS information with LRIT polling should achieve the desired vessel traffic awareness.
机译:作为评估当前和潜在的加拿大北部海防和安全使用海事信息源的总体研究目标的一部分,我们检查了以天基自动识别系统(S-AIS)为代表的广域监视数据数据,为加拿大北部的监视需求提供了足够的信息。如果S-AIS数据不足,我们将解决如何使用远程识别和跟踪(LRIT)提供的附加信息来满足监视要求的问题。构建了系统工具套件(STK)模拟方案,其中包括五颗收集AIS数据的精确地球卫星。模拟的AIS发射机位于加拿大北部20个地面位置。结果表明,使用五个卫星时,在每个位置进行的八天仿真中,有三分之二的时间都没有卫星在范围内。随着卫星数量的减少,在80到105分钟之间的间隔(没有接收到AIS消息)的频率会增加。如果最终用户比S-AIS持续提供的更多信息要求提供船舶位置信息,则使用LRIT轮询来增强S-AIS信息应可实现所需的船舶通行意识。

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