Open AccessOptimization of ultraviolet communication links based on finite difference stochastic approximation
Author(s) -
C. Hakan Arslan,
Fikadu T. Dagefu,
Terrence J. Moore,
Michael J. Weisman,
Robert Drost
Publication year - 2022
Publication title -
optics express
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.394
H-Index - 271
ISSN - 1094-4087
DOI - 10.1364/oe.468250
Subject(s) - non line of sight propagation , computer science , parametric statistics , transmitter , monte carlo method , extreme ultraviolet , gimbal , channel (broadcasting) , key (lock) , optimization problem , stochastic optimization , algorithm , mathematical optimization , optics , laser , wireless , physics , telecommunications , mathematics , engineering , aerospace engineering , statistics , computer security
The ultraviolet communication (UV) channel has been shown to have unique features that could be exploited for covert ground-to-ground communications in complex non-line-of-sight (NLOS) scenarios. A key challenge is the determination of optimal configuration of pointing directions of the UV nodes in unknown NLOS environments to maximize the link performance. In this paper, we proposed a novel steering optimization approach based on Finite Difference Stochastic Approximation (FDSA) to simultaneously optimize the transmitter (Tx) and receiver (Rx) pointing directions without any knowledge about the locations and relative orientations of the two nodes. We perform parametric analysis using Monte Carlo channel simulations to investigate and select appropriate key algorithmic parameters and analyze the performance of the proposed algorithm. We also carry out experimentation using our custom designed UV Tx and Rx gimbal systems and demonstrate the utility and efficiency of the proposed steering optimization approach and show that the received photon count can be increased significantly.