skip to main content
10.1145/3573942.3574117acmotherconferencesArticle/Chapter ViewAbstractPublication PagesaiprConference Proceedingsconference-collections
research-article

Effects of PM2.5 on the Detection Performance of Quantum Interference Radar

Published: 16 May 2023 Publication History

Abstract

In order to study the influence of PM2.5 particles on the detection performance of quantum interference radar, this article analyzes the relationship between the concentration of PM2.5 particles and the extinction coefficient under different particle sizes based on the spectral distribution function of PM2.5 particles and the Mie scattering theory. Then establish the influence model of PM2.5 particles on the detection distance and maximum detection error probability of quantum interference radar. The simulation results show that as the concentration of PM2.5 particles increases, the extinction coefficient of PM2.5 particles shows a gradually increasing trend; the energy of the detected photons is attenuated, resulting in a decrease in the transmission distance of the photons; when the energy of the emitted photons remains unchanged, The maximum detection error probability of quantum interference radar increases with the increase of PM2.5 particle concentration; when the PM2.5 particle concentration remains unchanged, the maximum detection error probability decreases gradually with the increase of the emitted photon energy. Therefore, the average number of emitted photons should be appropriately adjusted according to PM2.5 pollution in order to reduce the impact of PM2.5 atmospheric pollution on the detection performance of quantum interference radar.

References

[1]
Di Huige,Hua Dengxin.Research progress of lidar technology in cloud detection[J].Acta Optics,2022,42(06):26-36.
[2]
Wang Hongqiang, Liu Kang, Cheng Yongqiang, Qin Yuliang, Li Xiang, Jiang Yanwen. Quantum radar and its research progress[J]. Journal of Electronics, 2017,45(02):492-500.
[3]
Tian Zhifu, Wu Di, Hu Tao.Theoretical study on single-photon quantum radar scattering cross section of cylindrical surface[J].Acta Physica Sinica, 2022,71(03):148-153.
[4]
Zhang Chao, Wang Yuanhe, Jiang Xuefeng. Vortex microwave quantum radar[J]. Journal of Radar,2021,10(05):749-759.
[5]
Jepsen, P.N., Amato-Grill, J., Dimitrova, I. Spin transport in a tunable Heisenberg model realized with ultracold atoms. Nature 588, 403–407 (2020).
[6]
Xian Pei,Wu Feng.Analysis of target detection performance of quantum radar[J].Electronic Information Countermeasure Technology,2021,36(04):11-15.
[7]
Seth Lloyd. Enhanced Sensitivity of Photodetection via Quantum Illumination[J]. Science, 2008, 321(5895):1463-1465.
[8]
Benjamin Koltenbah, Claudio Parazzoli, Barbara Capron.A quantum radar detection protocol for fringe visibility enhancement[J].SPIE Defense, Security, 2016, 98291F.
[9]
Wang Qiang. Research on the detection method and performance improvement of quantum lidar[D]. Harbin Institute of Technology, 2016.
[10]
XU Zehua, LI Wei, XU Qiang, ZHENG Jiayi. Research on Surface Quantum Radar Scattering Cross Section Based on Spectral Link Simulation [J]. Journal of Air Force Engineering University (Natural Science Edition), 2019,20(01):90-95.
[11]
Wang Shu, Ren Yichong, Rao Ruizhong, Miao Xikui. Influence of atmospheric scintillation on the detection performance of coherent quantum interference radar[J]. China Laser, 2018,45(08):242-250.
[12]
Wang Shu, Ren Yichong, Rao Ruizhong, Miao Xikui. Influence mechanism of atmospheric loss on quantum interference radar[J].Acta Physica Sinica, 2017,66(15):52-62.
[13]
Min Xing, Li Xingcai, Li Xinwan, Ma Xin.Effect of charged dust storms on electromagnetic wave propagation[J].Acta Optics,2015,35(01):413-420.
[14]
Zhang Xiao, Zhang Yanpin, Qian Weimiao. Analysis of ozone pollution characteristics and meteorological causes in the main urban area of Shijiazhuang City[J]. Environmental Science Research, 2021,34(02):245-253.
[15]
Li Xiaomei. Detection Technology and Observation of Vertical Distribution of Atmospheric Aerosols Based on UV-Vis Spectrum[D]. University of Science and Technology of China, 2021.
[16]
Zhang Lin, Nie Min, Liu Xiaohui.Study on the survival function of noisy quantum channel and its simulation[J].Acta Physica Sinica,2013,62(15):32-38.
[17]
SACCHI M F. Entanglement can enhance the distinguishability of entanglement-breaking channels[J]. Physical review A, 2005, 72(1): 14-19.
[18]
GIOVANNETTI V, LLOYD S, MACCONE L. Quantum-enhanced measurements:beating the standard quantum limit[J]. Science, 2004, 30 (57):1330-1336.
[19]
LLOYD S. Enhanced sensitivity of photodetection via quantum illumination[J]. Science, 2008, 21(55):463-465.
[20]
Li Xu. Detection performance analysis and application of quantum radar based on entanglement [D]. Xi'an, Xi'an University of Posts and Telecommunications, 2014:30-31.

Index Terms

  1. Effects of PM2.5 on the Detection Performance of Quantum Interference Radar

    Recommendations

    Comments

    Information & Contributors

    Information

    Published In

    cover image ACM Other conferences
    AIPR '22: Proceedings of the 2022 5th International Conference on Artificial Intelligence and Pattern Recognition
    September 2022
    1221 pages
    ISBN:9781450396899
    DOI:10.1145/3573942
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

    Publisher

    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 16 May 2023

    Permissions

    Request permissions for this article.

    Check for updates

    Qualifiers

    • Research-article
    • Research
    • Refereed limited

    Conference

    AIPR 2022

    Contributors

    Other Metrics

    Bibliometrics & Citations

    Bibliometrics

    Article Metrics

    • 0
      Total Citations
    • 20
      Total Downloads
    • Downloads (Last 12 months)4
    • Downloads (Last 6 weeks)3
    Reflects downloads up to 01 Mar 2025

    Other Metrics

    Citations

    View Options

    Login options

    View options

    PDF

    View or Download as a PDF file.

    PDF

    eReader

    View online with eReader.

    eReader

    HTML Format

    View this article in HTML Format.

    HTML Format

    Figures

    Tables

    Media

    Share

    Share

    Share this Publication link

    Share on social media