• Infrared and Laser Engineering
  • Vol. 44, Issue 11, 3494 (2015)
Gu Youlin1、2、*, Ye Yingliu2, Cao Guanghua2, Hu Yihua1、2, and Zhu Feng2
Author Affiliations
  • 1[in Chinese]
  • 2[in Chinese]
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    DOI: Cite this Article
    Gu Youlin, Ye Yingliu, Cao Guanghua, Hu Yihua, Zhu Feng. Application of EMD and wavelet transform in low detectable targets detection[J]. Infrared and Laser Engineering, 2015, 44(11): 3494 Copy Citation Text show less

    Abstract

    Based on the situation of being difficult to detect low detectable targets with those conventional radar and infrared means, a novel algorithm of acquiring targets based on Empirical Mode Decomposition(EMD)and wavelet transform was proposed to tackle wind field disturbance detected by lidar. Through receiving the lidar echo signal reflected by atmosphere and the retrieval algorithm of wind speed, the wind field distribution in scanning area was acquired. The location of target was obtained based on EMD and wavelet transform. The experimental result shows that the target location is the radial distance of 1 250 m and the azimuth angle of 6° drawn by this algorithm is the same as the practical situation. Consequently, this novel means is practicable, which has an important significance in the detection of air low detectable target.
    Gu Youlin, Ye Yingliu, Cao Guanghua, Hu Yihua, Zhu Feng. Application of EMD and wavelet transform in low detectable targets detection[J]. Infrared and Laser Engineering, 2015, 44(11): 3494
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