Infrared and Laser Engineering, Volume. 49, Issue 4, 0403009(2020)

Research on high recognition accuracy laser near field detection sensor based on spectrum characteristics

Shuyang Liu1,2, Chen Zhang2, Anna Zhao2, Qifeng Li1, and Xiaodong Jia2
Author Affiliations
  • 1Tianjin University, School of Precision Instrument and Optoelectronic Engineering, Tianjin 300072, China
  • 2Tianjin Jinhang Institute of Technical Physics, Tianjin 300381, China
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    Laser near field detection plays a crucial role in the laser measurement products series and has been successfully and widely applied in lots of field. Traditional laser near field detection system transmits the triggering signal according to the distance information, without being able to judge whether the distance signal is obtained from the target or not. As a result, a false positive could happen and the performance of the system would be weakened. However, recognition based spectral information can improve accuracy. In this paper, a target recognition system, which was compatible for the classical laser fuse scheme, based on spectrum analysis was proposed to increase the detection accuracy of the laser fuse system. Some suggestions about the general design of the improved laser fuse system with spectrum analysis sensor were also offered including active and passive detection with imaging function as an option. Moreover, based on the CMOS technology, a monolithic spectrum analysis sensor was designed and fabricated, which integrated the spectral element on top of the opto-electronical sensor in one chip. Thanks to the greatly reduced size and the weight, this spectrum analysis sensor had potential application in practice. The experiment results show that the capability of such system on chip (SOC) sensor in distinguishing the target from the camouflage.

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    Shuyang Liu, Chen Zhang, Anna Zhao, Qifeng Li, Xiaodong Jia. Research on high recognition accuracy laser near field detection sensor based on spectrum characteristics[J]. Infrared and Laser Engineering, 2020, 49(4): 0403009

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    Paper Information

    Received: Feb. 14, 2020

    Accepted: --

    Published Online: May. 27, 2020

    The Author Email:

    DOI:10.3788/IRLA202049.0403009

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