ijast

International Journal of Aviation Science and Technology

2687-525X

Sürdürülebilir Havacılık Araştırma Derneği

Electrical Engineering

Elektrik Mühendisliği

The Detection Capability Of Laser Fuze In Fog, Mist, And Haze Using Monte Carlo Simulations

https://orcid.org/0000-0002-2041-6383

Hoang Linh

Nguyễn

Le Quy Don Technical

https://orcid.org/0000-0003-1812-3642

Pham

Trung Dung

Le Quy Don Technical

https://orcid.org/0000-0002-7956-2377

Tran

Hong Son

Le Quy Don Technical

https://orcid.org/0000-0003-1182-8746

Nguyen

Chung

Le Quy Don Technical

06 28 2023

04 01 41 48 12 15 2022 04 29 2023

2020

International Journal of Aviation Science and Technology

When choosing a transmission wavelength for proximity fuzes with high precision requirements, the weather condition is an important consideration factor. Although this issue has been addressed previously, there still is some confusion over how different laser wavelengths are attenuated by different types of weather. Hence, the paper developed a laser detection model in different conditions based on the Monte Carlo method to evaluate the detection capability of laser fuzes. As the atmospheric attenuation is a function of the wavelength equation, there is a conception that the laser pulsed fuzes with 1550 nm light suffers from less atmospheric attenuation than 785 or 850 nm laser in all weather conditions (Pratt, 1969). However, in foggy weather (visibility

Atmospheric attenuation Laser pulse fuze Monte Carlo Detection capability

W. K. Pratt,(1969). Laser Communication Systems, J. Wiley & Sons, New York.

T. J. Hu, Y. L. Zhao, Y. Zhao, and W. Ren, (2017). Integration design of a MEMS based fuze, Sens. Actuat. A 268, pp. 193–200.

F. Q. Liu, (2017). Quantum cascade lasers: from mid-infrared to THz, Opt. Optoelectron. Technol. M. Kavehrad, B. Hamzeh, (2005) “Beaming Bandwidth via Laser Communications”, 5th Integrated Communications, Navigation and Surveillance Technologies Conference (ICNS), Fairfax, Virginia.

H. X. Wang, Y. Z. Zhu, T. Tian, and A. J. Li, (2013). Characteristics of laser transmission in different types of aerosols, Acta Phys. Sinica 62, pp. 316– 325.

K. Sato, K. Yasuo, S. Takushi and S. Isao, (2002). "Laser Welding of plastics transparent to near-infrared rasdiation," in SPIE Proceedings, San Jose.

V. Kagan, R. Bray and W. Kuhn, (2002) "Laser Transmission Welding of Semi-Crystalline Thermoplastics- -Part 1: Optical Characterization of Nylon Based Plastics," Journal of Reinforced Plastics and Composites, vol. 21, no. 12, pp. 1101-1122.

D. M. Winker and L. R. Poole, (1995). Monte-Carlo calculations of cloud returns for ground-based and space-based LIDARS, Appl. Phys. B 60, pp.341–344.

S. Chudamani, J. D. Spinhirne, and A. D. Clarke, (1996). Lidar aerosol backscatter cross sections in the 2-μm near-infrared wavelength region, Appl. Opt. 35, pp. 4812–4819.

V. Srivastava, M. A. Jarzembski, and D. A. Bowdle, (1992). Comparison of calculated aerosol backscatter at 9.1- and 2.1-μm wavelengths, Appl. Opt. 31, pp. 1904–1906.

W. Kruse, L. D. McGlauchlin, and R. B. McQuistan, (1962). Elements of Infrared Technology: Generation, Transmission, and Detection, J. Wiley & Sons, New York.

I.I.Kim,B.McArthur,and E.J.Korevaar, (2001). Comparison of laser beam propagation at 785 nm and 1550 nm in fog and haze for optical wireless communications in Optical Wireless Communications.

B. Wilson and G. Adam, (1983). A Monte Carlo model for the absorption and flux distributions of light in tissue, Medical Physics, vol. 10, no. 6, pp. 824-830.

S. Prahl, M. Keijzer, S. Jacques and A. Welch, (1989). A Monte Carlo Model of Light Propagation in Tissue, Dosimetry of laser radiation in medicine and biology, no. 5, pp. 102-111.

A. Welch and M. van Gemert, (1995). Optical-Thermal Response of Laser-Irradiated Tissue, New York: Springer.

M. Ilie, J. Kneip, S. Mattei, A. Nichici, C. Roze and T. Girsole, (2007). Laser beam scattering effects in non-absorbent inhomogenous polymers, Optics and Lasers in Engineering, vol. 45, no. 3, pp. 405- 412.