• Infrared and Laser Engineering
  • Vol. 50, Issue 6, 20210005 (2021)
Junling Sun1, Pengge Ma1、*, Qingyuan Guo3, Hongyin Han1, Wei Li2, and Ran Tao2
Author Affiliations
  • 1School of Intelligent Engineering, Zhengzhou University of Aeronautics, Zhengzhou 450015, China
  • 2School of Information and Electronics, Beijing Institute of Technology, Beijing 100081, China
  • 3Chinese Aeronautical Establishment, Beijing 122000, China
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    DOI: 10.3788/IRLA20210005 Cite this Article
    Junling Sun, Pengge Ma, Qingyuan Guo, Hongyin Han, Wei Li, Ran Tao. Target echo denoising algorithm of airborne platform multi pulse laser rangefinder under low SNR[J]. Infrared and Laser Engineering, 2021, 50(6): 20210005 Copy Citation Text show less

    Abstract

    For long-distance aircraft targets, airborne multi pulse laser rangefinders usually adopt digital processing system. The factors that affect the ranging accuracy include the range resolution of emitting laser pulse width, the waveform broadening caused by atmospheric propagation and target reflection characteristics, the nonlinear phase frequency characteristics of echo signal receiving and processing channel, etc. Digital sampling rate, echo signal denoising and target waveform peak point position estimation usually cause large target range positioning error. In this paper, an echo denoising method based on Empirical Mode Decomposition(EMD) and reconstruction was proposed. Firstly, the echo waveform of pulse laser target was modeled, and then the performance of existing digital echo denoising algorithms and its influence on positioning accuracy were analyzed. The experimental results show that the proposed method can accurately extract the target peak point position and improve the target positioning accuracy of laser rangefinder.
    Junling Sun, Pengge Ma, Qingyuan Guo, Hongyin Han, Wei Li, Ran Tao. Target echo denoising algorithm of airborne platform multi pulse laser rangefinder under low SNR[J]. Infrared and Laser Engineering, 2021, 50(6): 20210005
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