TY - GEN
T1 - Robust Polar Coordinate System-Based KNN Algorithm Suitable for FSO Communication Systems with Turbulence Distortions
AU - Wang, Xishuo
AU - Lv, Kai
AU - Pan, Xiaolong
AU - Zhang, Qi
AU - Xin, Xiangjun
AU - Huo, Xiaoli
AU - Jing, Ruiquan
N1 - Publisher Copyright:
© 2023 IEEE.
PY - 2023
Y1 - 2023
N2 - A Polar KNN classification algorithm suitable for turbulence-distorted QAM signals is proposed, which can robustly achieve optimized decision at low training lengths. Simulation results show that, the proposed algorithm can achieve 23 % transmission distance improvement.
AB - A Polar KNN classification algorithm suitable for turbulence-distorted QAM signals is proposed, which can robustly achieve optimized decision at low training lengths. Simulation results show that, the proposed algorithm can achieve 23 % transmission distance improvement.
KW - free space optical communication
KW - k-nearest neighbor algorithm
KW - polar coordinate system
KW - robustness
KW - turbulenceinduced distortion
UR - http://www.scopus.com/inward/record.url?scp=85183303556&partnerID=8YFLogxK
U2 - 10.1109/ACP/POEM59049.2023.10369385
DO - 10.1109/ACP/POEM59049.2023.10369385
M3 - Conference contribution
AN - SCOPUS:85183303556
T3 - 2023 Asia Communications and Photonics Conference/2023 International Photonics and Optoelectronics Meetings, ACP/POEM 2023
BT - 2023 Asia Communications and Photonics Conference/2023 International Photonics and Optoelectronics Meetings, ACP/POEM 2023
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2023 Asia Communications and Photonics Conference/2023 International Photonics and Optoelectronics Meetings, ACP/POEM 2023
Y2 - 4 November 2023 through 7 November 2023
ER -