To keep up with today's dense metropolitan areas and their accompanying traffic problems, a growing number of towns are looking for more advanced and swift urban taxi drones. The safety parameters that must be taken into consideration may be the most important element in the widespread use of such technology. Most recent aviation mishaps have happened during the landing phase, making this a particularly important safety consideration for Vertical and/or Short Take-Off and Landing (V/STOL) drones. In this study, we focused on improving the fault tolerance of the processor architectures used by the predecessors of Autonomous Landing Guidance Assistance Systems (ALGAS), which in turn improves their decision-making capabilities. Furthermore, this is achieved by proposing a fault-tolerant processing architecture that depends on the Gamma Distribution Sliding Window Unit (GDSWU). This proposed GDSWU has been designed completely using VHDL, and the targeted FPFA was the Intel Cyclone V 5CGXFC9D6F27C7 chip. The GDSWU could operate at a maximum frequency of 369.96 MHz, as calculated by the synthesis results of the INTEL Quartus Prime program. The suggested GDSWU core only requires 20.36 mW for dynamic core and I/O power consumption.

翻译：为了应对当今密集都市区域及其伴随的交通问题，越来越多的城镇正在寻求更先进、更快速的城市空中出租车无人机。安全性考量可能是此类技术广泛应用的最关键因素。近期大多数航空事故发生在着陆阶段，这使得垂直和/或短距起降无人机的着陆安全性成为特别重要的考量。在本研究中，我们聚焦于提升自主着陆引导辅助系统前代产品所使用的处理器架构的容错能力，从而改善其决策能力。此外，这是通过提出一种基于伽马分布滑动窗口单元的容错处理架构来实现的。该伽马分布滑动窗口单元完全使用VHDL设计，目标现场可编程门阵列芯片为Intel Cyclone V 5CGXFC9D6F27C7。根据INTEL Quartus Prime程序的综合结果，该单元能以最高369.96 MHz的频率运行。所提出的伽马分布滑动窗口单元核心的动态核心及I/O功耗仅为20.36 mW。