• Chinese Journal of Lasers
  • Vol. 43, Issue 4, 408002 (2016)
Liu Tong1、2、*, Chen Hao3, Shen Ming1, Gao Pengqi1, and Zhao You1
Author Affiliations
  • 1[in Chinese]
  • 2[in Chinese]
  • 3[in Chinese]
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    DOI: 10.3788/cjl201643.0408002 Cite this Article Set citation alerts
    Liu Tong, Chen Hao, Shen Ming, Gao Pengqi, Zhao You. Effective Echo Extraction for Space Debris Laser Ranging Using Randomized Hough Transform[J]. Chinese Journal of Lasers, 2016, 43(4): 408002 Copy Citation Text show less

    Abstract

    The signal-to-noise (SNR) of space debris laser ranging (DLR) data is too low to extract the effective echo with fast and effective methods. To solve this problem, a DLR echo extraction method based on randomized Hough transform (RHT) is proposed. Considering the time correlating property of O-C residuals′ adjacent echo, the effective echo extraction problem is transformed to the curve recognition of the image space. N pixels that determine a curve are randomly picked and they are mapped into one point in the parameter space. The parameter score accumulation strategy is used for curve recognition in the parameter space, which extracts the effective echo. The processing of DLR data of Yunnan Observatory shows that this method can extract echo signal on the approximated curve effectively with high speed, small storage and low misdetection rate. And it provides a new thought for fast and automatic DLR echo extraction.
    Liu Tong, Chen Hao, Shen Ming, Gao Pengqi, Zhao You. Effective Echo Extraction for Space Debris Laser Ranging Using Randomized Hough Transform[J]. Chinese Journal of Lasers, 2016, 43(4): 408002
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