海水浓度对蓝绿激光通信的影响分析
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摘要
通过分析波长530 nm激光在不同海域中海水光学信道中的光学特性,利用蒙特卡洛法模拟海水信道的传输过程,对接收机在不同海水水质参数和任意位置下接收功率的变化关系进行了蒙特卡洛模拟仿真,并利用平顶高斯函数对此仿真结果进行了拟合和对比分析,得到了蓝绿激光不同海水浓度和任意接收位置与接收功率之间的关系,即海水信道无线激光仿真传输模型。利用此模型可以快速得到在固定传输距离下不同海水水质参数任意接收位置下的接收光功率,为水下无线光通信系统设计提供了有价值的参考数据。
By analyzing the optical characteristics of 530 nm laser in different sea water optical channels,Monte Carlo method is used to simulate the transmission process of sea water channel,and Monte Carlo simulation is carried out to simulate the relationship between the receiving power of the receiver under different sea water quality parameters and arbitrary positions. The simulation results are fitted and analyzed by using the flat-topped Gauss function. The relationship between the received power and the concentration of blue-green laser in different sea water and any receiving position is obtained,which is the simulation transmission model of wireless laser in sea water channel. Using this model,the received optical power can be quickly obtained at any receiving position with different sea water quality parameters at fixed transmission distance,which provides valuable reference data for the design of underwater wireless optical communication system.
By analyzing the optical characteristics of 530 nm laser in different sea water optical channels,Monte Carlo method is used to simulate the transmission process of sea water channel,and Monte Carlo simulation is carried out to simulate the relationship between the receiving power of the receiver under different sea water quality parameters and arbitrary positions. The simulation results are fitted and analyzed by using the flat-topped Gauss function. The relationship between the received power and the concentration of blue-green laser in different sea water and any receiving position is obtained,which is the simulation transmission model of wireless laser in sea water channel. Using this model,the received optical power can be quickly obtained at any receiving position with different sea water quality parameters at fixed transmission distance,which provides valuable reference data for the design of underwater wireless optical communication system.
引文
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[2]GABRIEL C,KHALIGHI M A,BOURENNANE S.MonteCarlo-Based Channel Characterization for Underwater Optical Communication Systems[J].IEEE Journal of Optical Communications and Networking,2013,5(1):1-12.
[3]RAYMOND C,SMITH,KAREN S B.Optical Properties of the Clearest Natural Waters[J].Applied Optical,1981,20(2):177-184.
[4]杨顶田,曹文熙,杨跃中,等.珠江口水体的光学特征及分析[J].生态科学,2004,23(1):1-4.
[5]HICKMAN G D,HARDING J M,CARNES M,et al.Aircraft Laser Sensing of Sound Velocity in Water:Brillouin Scattering[J].Remote Sens.Environ,1991,(36):165-178.
[6]ROESLER C S.Theoretical and Experimental Approaches to Improve the Accuracy of Particulate Absorption Coeffi cients Derived from the Quantitative Filter Technique[J].Limnol.Oceanogr,1998,(43):1649-1662.
[7]WERMER C,STRICHER J,HERRMANN H,et al.Multiple-Scattering Lidar Experiments[J].Optical Engineering,1992,(31):1731-1745.
[8]刘述锡,孙钦帮,陈素梅,等.北黄海近岸海域叶绿素a浓度季节分布特征[J].海洋环境科学,2011,30(4):528-532.
[9]YURI I K,VICTOR I F,ALEXEY S.Mathematical Modeling of Input Signals for Oceanographic Lidar Systems[J].SPIE,2003,51(55):30-39.
[10]EUGENY P S,VALERY V T.Computer Simulation of Light Propagation in a Multi-Lager Biological by MonteCarlo Method[J].SPIE,2000,(40):317-326.
[11]杜竹峰,卢益民,杨宗凯,等.海洋激光雷达接收信号的Monte Carlo计算[J].中国激光,1991,26(6):430-433.
[12]WERNER C,STREICHER J,HERRMANN H,et al.Multiple-Scattering Lidar Experiments[J].Optical Engineering,1992,31(12):1731-1745.
[13]POOLE L R,VENABLE D D,CAMPBELL JW.SEMIANALYTIC Monte Carlo Radiative Transfer Model for Oceanographic Lidar System[J].Appl Opt,1981,20(20):3653-3656.