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首页> 外文期刊>Air Traffic Control Quarterly >Modeling and Simulation of a Ground Based Sense and Avoid Architecture for Unmanned Aircraft System Operations
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Modeling and Simulation of a Ground Based Sense and Avoid Architecture for Unmanned Aircraft System Operations

机译：无人机系统运行的地面感知与回避架构的建模与仿真

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摘要

The safe operation of Unmanned Aircraft Systems (UAS) in the National Airspace System necessitates a capability to sense and avoid other airborne objects. One solution is a Ground Based Sense and Avoid (GBSAA) concept, where data from ground-based radars are fused in a specially tuned tracking system that can provide traffic information to manual (flight crews) or automatic collision avoidance systems. In this paper, we will present a modeling and simulation approach to assess site-specific radar detection and tracking performance. High fidelity primary surveillance radar and tracking system models enable simulation studies to determine target probability of detection and distributions of expected track initiation times across the surveillance volume. Atmospheric and environmental conditions, terrain, and land coverage type affect radar wave propagation. Models take into account these sources of degradation, as well as target characteristics, site-specific radar performance, tracking system filtering, and initiation logic. This information will help in developing a GBSAA concept of operation, mission planning, and will ultimately define where UAS can operate with sufficient surveillance performance to meet sense and avoid requirements.
机译：在国家空域系统中，无人机系统（UAS）的安全运行需要能够感知和避开其他机载物体的能力。一种解决方案是“地面感知与避免”（GBSAA）概念，其中将来自地面雷达的数据融合到经过特殊调整的跟踪系统中，该系统可以为手动（飞行机组）或自动避撞系统提供交通信息。在本文中，我们将提出一种建模和仿真方法来评估特定于站点的雷达检测和跟踪性能。高保真初级监视雷达和跟踪系统模型使仿真研究能够确定检测目标概率以及整个监视范围内预期跟踪起始时间的分布。大气和环境条件，地形和土地覆盖类型会影响雷达波的传播。模型考虑了这些退化源，目标特性，特定地点的雷达性能，跟踪系统过滤和启动逻辑。这些信息将有助于制定GBSAA的作战概念，任务计划，并最终定义UAS可以在何处以足够的监视性能进行作战，以满足意识和避免需求。

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