Volume 46 Issue 5
Jun.  2017
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Huang Yuxiang, Zhang Hongyi, Li Fei, Xu Weiming, Hu Yihua. Phase modulated lidar imaging design and simulation[J]. Infrared and Laser Engineering, 2017, 46(5): 506003-0506003(6). doi: 10.3788/IRLA201746.0506003
Citation: Huang Yuxiang, Zhang Hongyi, Li Fei, Xu Weiming, Hu Yihua. Phase modulated lidar imaging design and simulation[J]. Infrared and Laser Engineering, 2017, 46(5): 506003-0506003(6). doi: 10.3788/IRLA201746.0506003

Phase modulated lidar imaging design and simulation

doi: 10.3788/IRLA201746.0506003
  • Received Date: 2016-09-10
  • Rev Recd Date: 2016-10-20
  • Publish Date: 2017-05-25
  • The inverse synthetic aperture lidar (ISAL) have attracted increasing attention for its merits including smaller divergence angle of the signal source and smaller synthetic aperture under same crossrange resolution when compared with its inverse synthetic aperture radar (ISAR) counterpart. However, by using lidar instead of radar as the signal source, the most popular spread-spectrum techniques such as linear frequency modulation are not suitable for a practical ISAL. In order to obtain a highly repeatable and a broad frequency signal in a very short time, a maximum length sequence coded phase modulation method, which was a widespread method in optical communication, was adopted in this paper. The farfield signal model and the corresponding imaging algorithm were introduced in the first place. The main differences from traditional algorithms were addressed thereafter. Finally, a well-designed simulation target composed of several scattered center points was used to verify the validity of the proposed imagingalgorithm. The results are analyzed with imaging parameters to prove the method introduced by this paper is adaptable for real-time ISAL.
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    [3] Ruan Hang, Wu Yanhong, Zhang Shuxian. Geostationary orbital object imaging based on spaceborne inverse synthetic aperture ladar[J]. Infrared and Laser Engineering, 2013, 42(6):1611-1616. (in Chinese)
    [4] Wu Jin, Li Feifei, Zhao Zhilong, et al. Demonstration of stripmap mode synthetic aperture ladar with PGA-independent high resolution images[J]. Infrared and Laser Engineering, 2014, 43(11):3559-3564. (in Chinese)
    [5] Ruan Hang, Wu Yanhong, Ye Wei. Inverse synthetic aperture ladar imaging algorithm for uniform motion targets[J]. Infrared and Laser Engineering, 2014, 43(4):1124-1129. (in Chinese)
    [6] Hongxing D. Stepped frequency chirp signal SAR imaging[C]//1st Asian and Pacific Conference on Synthetic Aperture Radar, 2007. APSAR IEEE, 2007:14-18.
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    [8] Wang W, Wang R, Zhang Z, et al. First demonstration of airborne SAR with nonlinear FM chirp waveforms[J]. IEEE Geoscience and Remote Sensing Letters, 2016, 13(2):247-251.
    [9] Li Fei, Zhang Hongyi, Wu Jun, et al. Mechanism and experiment of code intensity-modulation on synthetic aperture ladar[J]. Infrared and Laser Engineering, 2015, 44(9):2575-2582. (in Chinese)
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Phase modulated lidar imaging design and simulation

doi: 10.3788/IRLA201746.0506003
  • 1. Key Laboratory of Space Active Opto-Electronics Technology,Shanghai Institute of Technical Physics,Chinese Academy of Sciences,Shanghai 200083,China;
  • 2. State Key Laboratory of Pulsed Power Laser Technology,Electronic Engineering Institute,PLA,Hefei 230037,China

Abstract: The inverse synthetic aperture lidar (ISAL) have attracted increasing attention for its merits including smaller divergence angle of the signal source and smaller synthetic aperture under same crossrange resolution when compared with its inverse synthetic aperture radar (ISAR) counterpart. However, by using lidar instead of radar as the signal source, the most popular spread-spectrum techniques such as linear frequency modulation are not suitable for a practical ISAL. In order to obtain a highly repeatable and a broad frequency signal in a very short time, a maximum length sequence coded phase modulation method, which was a widespread method in optical communication, was adopted in this paper. The farfield signal model and the corresponding imaging algorithm were introduced in the first place. The main differences from traditional algorithms were addressed thereafter. Finally, a well-designed simulation target composed of several scattered center points was used to verify the validity of the proposed imagingalgorithm. The results are analyzed with imaging parameters to prove the method introduced by this paper is adaptable for real-time ISAL.

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