  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.
