Plasma logical gates are a promising technical innovation that can increase the performance of optical systems due to their small size and wide range of optical interference effects. Despite the numerous previous studies in this field, most of them still remain somewhat complex in structure and large dimensions, only to indicate poor contrast, which reduces their practical applicability in high-signal communication systems. This work presents a novel design for three plasmonic all optical logic gates, designed and fully implemented in the C-band at a wavelength of 1552 nm using the COMSOL Multiphysics software. The proposed style is ultra compact (150 x 150) nm and relies on an unprecedented geometric structure consisting of a rectangular nanoring resonator and four silver strips, integrated with a low refractive index dielectric material to precisely control the optical interactions. The essential addition in the suggested design is the precise control of constructive and destructive interference between the input signal and the control signal, which reduced the threshold transmission value to only 0.21, a significant improvement over most previously published designs. The innovative model also featured a higher contrast ratio and better modulation depth, along with an operating speed of up to 50 Gbps and an instant response time, making it an ideal candidate for developing efficient integrated optical logic circuits in high speed and capacity communications systems. 

Although several studies have explored LiDAR degradation in fog, most rely on simplified extinction models or omit the interaction between scattering physics and FMCW signal processing. This work introduces a full end-to-end simulation framework that couples Monte Carlo radiative transfer parameterized by log-normal fog microphysics and Henyey-Greenstein or Mie scattering with a baseband FMCW synthesis that directly generates range-FFT spectra. Unlike prior work, this integration captures how volumetric backscatter, multiple scattering, and aperture/FOV geometry manifest in the actual beat spectrum and affect detection performance. The framework quantifies signal-to-noise ratio (SNR), carrier-to-noise ratio (CNR), penetration range, and false-alarm statistics across 905, 1310, and 1550 nm under visibility-indexed fog scenarios. Results confirm the expected reduction of backscatter at longer wavelengths, but also reveal new trade-offs: 1550 nm consistently yields the lowest clutter floor and stable medium-range detection, while 905 nm benefits from superior silicon-detector responsivity but suffers stronger fog clutter and stricter eye-safety limits. By explicitly linking scattering physics with FMCW system behavior, this study provides original, quantitative guidance for wavelength selection in automotive LiDAR, complementing and extending prior extinction-only analyses.