Abstract
Recent advances in uncrewed aerial vehicle (UAV) technology have the
potential to benefit diverse civil, commercial, scientific, and
defense projects. Many applications would benefit from beyond visual
line-of-sight (BVLOS) operations. Such operations require automated
safety systems that allow uncrewed aircraft to avoid collisions with
both crewed and uncrewed aircraft. Electro-optical and infrared
(EO/IR) sensors are commonly employed by aircraft collision avoidance
systems. This study compares plane-to-sky contrast in the VIS (0.4 to
0.7 µm), SWIR (1 to 1.7 µm), MWIR (3 to 5 µm),
and LWIR (8 to 14 µm) to determine which band is most sensitive
to an aircraft signal against a clear sky background. Contrast in the
two reflective bands (VIS and SWIR) is determined in terms of
equivalent reflectivity, and contrast in the two emissive bands (MWIR
and LWIR) is determined in terms of equivalent blackbody temperature.
Sensitivity data are then used alongside resolution specifications to
estimate the detection performance at-range using the night vision
integrated performance model (NVIPM). The results are extrapolated to
a maritime atmosphere using MODTRAN. An analysis of the range
performance and recommendations on band selection are provided for
reference in the design of EO/IR systems for aircraft collision
avoidance. Future research may study the band performance at night and
against other backgrounds (e.g. clouds, ocean, ground terrain).
Funder
SARA, Scientific Applications and
Research Associates Inc