Model of underwater target laser scanning detection based on undershoot distance

Zhong Kun; Su Wei; Peng Bo; Huang Shaling; Li Zhongyun

doi:10.3788/IRLA202049.0203004

Blue-green laser has broad application prospects in non-acoustic detection of underwater targets. However, the existing detection models have not considered the problem of matching the detection probability with the self-guided system. A target detection model of underwater laser scanning detecting system was established based on undershoot distance to match the guiding precision. The simulation results shows that an increasing undershoot distance needs an increasing emit angle to get high detection probability at a certain emit frequency, which however leads to a decreasing acting time for the following system. In addition, an increasing undershoot distance needs an increasing emit frequency and a decreasing step angle to avoid missing the target. Finally, the simulation provides an optimal range for undershoot distance and system parameter. The model and the simulation results provide theoretic basis for the matching up design of guiding system and detecting system.

Model of underwater target laser scanning detection based on undershoot distance

Institute of Electronic Engineering, China Academy of Engineering Physics, Mianyang 621999, China

Received Date: 2019-10-11

Rev Recd Date: 2019-11-21

Publish Date: 2020-03-02

Key words:

Abstract: Blue-green laser has broad application prospects in non-acoustic detection of underwater targets. However, the existing detection models have not considered the problem of matching the detection probability with the self-guided system. A target detection model of underwater laser scanning detecting system was established based on undershoot distance to match the guiding precision. The simulation results shows that an increasing undershoot distance needs an increasing emit angle to get high detection probability at a certain emit frequency, which however leads to a decreasing acting time for the following system. In addition, an increasing undershoot distance needs an increasing emit frequency and a decreasing step angle to avoid missing the target. Finally, the simulation provides an optimal range for undershoot distance and system parameter. The model and the simulation results provide theoretic basis for the matching up design of guiding system and detecting system.

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Reference (18)

[1]	Qiang Chaochao, Wang Yuanbin. Current situation and development of underwater acoustic target recognition technology[J]. Command Information System and Technology, 2018, 9(2):73-77. (in Chinese)
[2]	Yan Yi. The overview study of non-acoustic detection technology base on UUV application in searching target underwater[J]. Ship Science and Technology, 2017, 39(12):10-13, 43. (in Chinese)
[3]	Zhu Shicai, Mu Lan, Liu Zhijun, et al. A survey of foreign warship magnetic field characteristic research and warship protection techniques[J]. Ship Science and Technology, 2014, 36(9):1-6. (in Chinese)
[4]	Song Hong, Zhang Yunfei, Wu Chaopeng, et al. Calibration method of underwater phase laser ranging[J]. Infrared and Laser Engineering, 2019, 48(4):0406008. (in Chinese)
[5]	Cheng Zao, Yang Kecheng, Han Jiefei, et al. Improved time-of-flight range acquisition technique in underwater lidar experiments[J]. Applied Optics, 2015, 54(18):5715-5726.
[6]	Aurora Maccarone, Aongus McCarthy, Ximing Ren. Underwater depth imaging using timecorrelated single-photon counting[J]. Optics Express, 2015, 23(26):33911-33927.
[7]	Shawn O'Connor, Linda J Mullen, Brandon Cochenour. Underwater modulated pulse laser imaging system[J]. Optical Engineering, 2014, 53(5):051403.
[8]	Zhong Wei, Zhang Xiaohui, Han Hongwei. Irradiance spatial distribution model of laser source for underwater range-gated imaging radar[J]. Acta Optica Sinica, 2016, 36(4):0401005. (in Chinese)
[9]	Li Shengfu, Chen Guanghua, Wang Rongbo, et al. Monte carlo based angular distribution estimation method of multiply scattered photons for underwater imaging[J]. Optics Communications, 2016, 381(1):43-47.
[10]	Ouyang Bing, Hua Weilin. Compressive line sensing imaging system in a controlled hybrid scattering environment[J]. Optical Engineering, 2019, 58(2):023102.
[11]	Chen Jialin, Chen Zhenglin, Zhao Daomu. Experimental study of propagation properties of vortex beams in oceanic turbulence[J]. Applied Optics, 2017, 56(12):3577-3582.
[12]	Wang Yaochuan, Liu Dajun. Average intensity of a Lorentz beam in oceanic turbulence[J]. Optik, 2017, 144:76-85.
[13]	Zha Bingting, Yuan Hailu, Tan Yayun. Ranging precision for underwater laser proximity pulsed laser target detection[J]. Optics Communications, 2019, 58(2):81-87.
[14]	Tan Yayun, Zhang He, Zha Bingting. Underwater single beam circumferentially scanning detection system using range-gated receiver and adaptive filter[J]. Journal of Modern Optics, 2017, 64(16):1648-1656.
[15]	Zha Bingting, Zhang He. Scanning frequency and pulse frequency of single-beam pulsed laser fuze[J]. Infrared and Laser Engineering, 2014, 43(7):2081-2086. (in Chinese)
[16]	Tan Yayun, Zhang He, Zha Bingting. Simulation of underwater laser fuze echo based on bidirectional reflectance distribution function[J]. Acta Photonica Sinica, 2016, 45(12):111012. (in Chinese)
[17]	Tan Yayun, Zhang He, Zha Bingting. Modeling and simulation of underwater single-beam scanning laser fuze acquisition rate[J]. High Power Laser and Particle Beams, 2015, 27(11):1207002. (in Chinese)
[18]	Qian Dong, Zhang Qi. Development of anti-torpedo torpedo in Europe[J]. Torpedo Technology, 2006, 14(5):1-11.

Model of underwater target laser scanning detection based on undershoot distance

doi: 10.3788/IRLA202049.0203004

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