• Infrared and Laser Engineering
  • Vol. 49, Issue 2, 205006 (2020)
Ma Le1, Lu Wei1, Jiang Peng2, Liu Di1, Wang Penghui3, and Sun Jianfeng1
Author Affiliations
  • 1[in Chinese]
  • 2[in Chinese]
  • 3[in Chinese]
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    DOI: 10.3788/irla202049.0205006 Cite this Article
    Ma Le, Lu Wei, Jiang Peng, Liu Di, Wang Penghui, Sun Jianfeng. Research on 3D range reconstruction algorithm of Gm-APD lidar based on matched filter[J]. Infrared and Laser Engineering, 2020, 49(2): 205006 Copy Citation Text show less

    Abstract

    The peak-picking method which is commonly used in Gm-APD laser radar 3D reconstruction always gets the wrong target position when there is an abnormal peak, and the reconstructed image has low signal-to-noise ratio and target missing because the threshold can only be integer. To solve these problems, a weighted Gaussian-like matched filtering algorithm was proposed. Fitting the echo firing histogram and normalizing can get the weight. Then the weighted window smoothing histogram was used and the peak position was selected again for reconstruction. According to the Poisson distribution of Gm-APD, the detection probability and false-alarm probability expression of the algorithm can be obtained, then compared with the peak method. The result show that the weighted Gaussian-like matched filter algorithm is better for the target in the middle of the gate. The theoretical derivation results are verified by Monte Carlo simulation. At last, by using the real experimental data and reconstructing data with two kinds of algorithms, the consequence shows that the weighted Gaussian-like matched filtering algorithm has a significant improvement on the restoration subjective and objective compared with the peak method. The results show that this algorithm has a good practical application prospect in dealing with low SNR and real-time 3D reconstruction.
    Ma Le, Lu Wei, Jiang Peng, Liu Di, Wang Penghui, Sun Jianfeng. Research on 3D range reconstruction algorithm of Gm-APD lidar based on matched filter[J]. Infrared and Laser Engineering, 2020, 49(2): 205006
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