Target Acquisition for Collimation System of Wireless Quantum Communication Networks in Low Visibility

In severe low-visibility environments full of smoke, because the performance degeneration near-infrared (NIR) collimation system quantum drones communication networks, improved dual-threshold method based on trend line analysis for long-wave infrared (LWIR) cascade lasers (QCLs) is proposed, to achieve target acquisition. The simulation results show that smoke-scattering noise a steeply varying medium–high-frequency modulation. At particle sizes less than 4 μm, traditional can effectively distinguish information from smoke noise, which advantage LWIR laser compared NIR laser. For detecting with high signal-to-noise ratios (SNRs), good acquisition, by setting reasonable conventional thresholds, such as 0.7 times peak intensity and 0.8 rising velocity. low SNRs steep variation, also adaptively resetting new thresholds after filtering laser, 0.6 this paper will provide reference improvement refinement wireless networks in visibility.