Monte-Carlo-Based Impulse Response Modeling for Underwater Wireless Optical Communication

被引:15
作者
Dong, Feibiao [1 ]
Xu, Limei [1 ]
Jiang, Dagang [1 ]
Zhang, Tianhong [1 ]
机构
[1] Univ Elect Sci & Technol China, Dept Aeronaut & Astronaut, Chengdu 611731, Sichuan, Peoples R China
来源
PROGRESS IN ELECTROMAGNETICS RESEARCH M | 2017年 / 54卷
基金
中国国家自然科学基金;
关键词
D O I
10.2528/PIERM16112403
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
In underwater wireless optical communication links, the suspended particles in the water can lead to multiple path transmission of the light, causing the temporal dispersion and attenuation of beam pulse. The scattering phase function is a key parameter to model angle scattering in the Monte Carlo simulation and can be approximated by the commonly used Henyey-Greenstein (HG) phase function, but in turbid sea water environment, the HG phase function cannot match well with the measured value of the particle phase function. In this work, instead of using the HG phase function, we make use of the Petzold's measured data value of the scattering phase function in turbid sea water. We propose a numerical solution for the computing of the scattering angle based on the measured particle phase function and present the difference of effect on temporal dispersion between the measurement and HG phase function. Numerical results show that our model is more accurate than the widely used HG model. An analytic double Gamma function is used to fit the Monte Carlo simulation results, and a good fit is found between the double Gamma function and the Monte Carlo simulations.
引用
收藏
页码:137 / 144
页数:8
相关论文
共 20 条
[1]  
Giles J.W., Bankman I., Underwater optical communications systems. Part 2: Basic design considerations, IEEE Military Communication Conf. (MILCOM), 3, pp. 1700-1705, (2005)
[2]  
Anguita D., Brizzolara D., Parodi G., Building an underwater wireless sensor network based on optical communication: Research challenges and current results, Int. Conf. on Sensor Technologies and Applications (SENSORCOMM), pp. 476-479, (2009)
[3]  
Zhang H., Dong Y., Impulse response modeling for general underwater wireless optical MIMO links, IEEE Communications Magazine, 54, 2, pp. 56-61, (2016)
[4]  
Cohenour B.M., Mullen L.J., Channel response measurements for diffuse non-line-sight (NLOS) optical communication links underwater, Proc. 2011 IEEE Oceans Conf., pp. 1-5, (2011)
[5]  
Gabriel C., Khalighi M., Bourenane S., Leon P., Rigaud V., Channel modeling for underwater optical communication, Proc. 2011 IEEE Workshop on Optical Wireless Communication, Globecom Conf., pp. 833-837, (2011)
[6]  
Liang B., Zhu H., Chen W., Simulation of laser communication channel from atmosphere to ocean, ACTA Optical Sinica, 27, 2, pp. 0253-2239, (2007)
[7]  
Dalgeish F., Caimi F., Vuorenkoski A., Efficient laser pulse dispersion codes for turbid undersea imaging and communications applications, Proc. of SPIE, 7678, pp. 1-12, (2010)
[8]  
Jaruwatanadilok S., Underwater wireless optical communication channel modeling and performance evaluation using vector radiative transfer theory, IEEE Journal on Slected Areas in Communications, 26, 9, pp. 1620-1627, (2008)
[9]  
Hanson F., Radic S., High bandwidth underwater optical communication, Appl. Opt., 47, 2, pp. 277-283, (2008)
[10]  
Gabriel C., Khalighi M., Bourenane S., Leon P., Rigaud V., Monte-Carlo-based channel characterization for underwater optical communication systems, J. Opt. Commun. Netw, 8, 1, pp. 1-12, (2013)