Chinese Journal of Lasers, Volume. 49, Issue 9, 0910001(2022)

Pitch Attitude Sensitivity of Photon Detection Echo of Moving Airborne Targets

Fanghui Qu1,2、*, Yihua Hu1,2、**, Shilong Xu1,2、***, and Ahui Hou1,2
Author Affiliations
  • 1State Key Laboratory of Pulsed Power Laser Technology, National University of Defense Technology, Hefei 230037, Anhui, China
  • 2Anhui Key Laboratory of Electronic Control Technology, National University of Defense Technology, Hefei 230037, Anhui, China
  • show less

    Conclusions

    The echo complexity of different air targets at different angles is determined by the influence of the photon detection mechanism and the diversity of the target structure and material. Using the photon detection echo theory, this study proposed the concept of photon echo posture affect levels to describe the photon echo of target attitude sensitivity. This method was verified using the modelling and simulation data, quantitative research on the susceptibility of three typical air moving target attitudes, comparison between their characteristics and differences, and experiments. The results show that the obvious difference in the influence level of the photon echo attitude of similar and dissimilar air targets can be used to distinguish the target, providing a new method and data support for target recognition with high theoretical and application values. The other angle range and specific application conditions of the theory for characterising air target movements need to be further discussed.

    Tools

    Get Citation

    Copy Citation Text

    Fanghui Qu, Yihua Hu, Shilong Xu, Ahui Hou. Pitch Attitude Sensitivity of Photon Detection Echo of Moving Airborne Targets[J]. Chinese Journal of Lasers, 2022, 49(9): 0910001

    Download Citation

    EndNote(RIS)BibTexPlain Text
    Save article for my favorites
    Paper Information

    Received: Aug. 25, 2021

    Accepted: Oct. 25, 2021

    Published Online: Apr. 22, 2022

    The Author Email: Qu Fanghui (qfh_goubaby@163.com), Hu Yihua (skl_hyh@163.com), Xu Shilong (xushi1988@yeah.net)

    DOI:10.3788/CJL202149.0910001

    Topics