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Design of Local Area DGNSS Architecture to Support Unmanned Aerial Vehicle Networks: Concept of Operations and Safety Requirements Validation

机译:本地DGNSS架构设计支持无人机网络网络:运营和安全要求验证的概念

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Local-area differential global navigation satellite systems (LAD-GNSS) support unmanned aerial vehicles (UAVs) with high integrity and accuracy. This study investigates three major issues in fully establishing LAD-GNSS and analyzes their performance. First, we define the concept and requirements of UAV operation, including segregation of UAV operation coverage in low-altitude airspaces, and the derivation of navigation requirements, such as alert limits (ALs), for each operational coverage. Second, we design a LAD-GNSS architecture by simplifying the hardware and monitoring algorithms of both the ground facility and onboard module, using the well-established ground-based augmentation system (GBAS) as a starting point. Lastly, we perform theoretical performance evaluations comparing position uncertainty bounds, which are represented by protection levels (PLs), to the corresponding navigation requirements for each coverage airspace. We derive and compare PLs and ALs under both nominal and malfunction cases. In addition, we describe a method for deriving PLs for excessive acceleration and code-carrier divergence fault scenarios, which are bounded by using a maximum-allowable error in range. Using these PLs, integrity/continuity allocations are ideally and dynamically assigned to each single-fault hypothesis to obtain optimized PLs that are identical for all fault scenarios. We find that vertical protection levels (VPLs) are reduced by approximately 16% when implementing the optimal allocation method.
机译:局域差分全球导航卫星系统(LAD-GNSS)支持高完整性和准确性的无人驾驶飞行器(无人机)。本研究调查了三大问题,完全建立小人GNSS并分析其表现。首先,我们定义了UAV操作的概念和要求,包括低高度空位中的UAV操作覆盖的偏见,以及导航要求的导出,例如警报限制(ALS),每个操作覆盖范围。其次,我们通过简化地面设施和板载模块的硬件和监控算法来设计LAD-GNSS架构,使用良好的基于​​地面的增强系统(GBA)作为起始点。最后,我们执行比较位置不确定性界限的理论性能评估,这些界限由保护水平(PLS)表示,以对每个覆盖空域的相应导航要求。我们在标称和故障情况下得出并比较PLS和ALS。此外,我们描述了一种用于导出用于过度加速度和代码载波发散故障场景的方法的方法,它是通过使用范围内的最大允许误差而界定的。使用这些PLS,理想地和动态分配完整性/连续性分配给每个故障假设,以获得与所有故障方案相同的优化PL。我们发现,在实现最佳分配方法时,垂直保护水平(VPLS)减少了大约16%。

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