Underwater Wireless Optical Communication Channel Modeling and Performance Evaluation using Vector Radiative Transfer Theory

This paper presents the modeling of an underwater wireless optical communication channel using the vector radiative transfer theory. The vector radiative transfer equation captures the multiple scattering nature of natural water, and also includes the polarization behavior of light. Light propagation in an underwater environment encounters scattering effect creating dispersion which introduces inter-symbol-interference to the data communication. The attenuation effect further reduces the signal to noise ratio. Both scattering and absorption have adverse effects on underwater data communication. Using a channel model based on radiative transfer theory, we can quantify the scattering effect as a function of distance and bit rate by numerical Monte Carlo simulations. We also investigate the polarization behavior of light in the underwater environment, showing the significance of the cross-polarization component when the light encounters more scattering.

[1]  I. Bankman,et al.  Underwater optical communications systems. Part 2: basic design considerations , 2005, MILCOM 2005 - 2005 IEEE Military Communications Conference.

[2]  K. S. Shifrin Physical optics of ocean water , 1988 .

[3]  S. Arnon,et al.  Performance of an optical wireless communication system as a function of wavelength , 2002, The 22nd Convention on Electrical and Electronics Engineers in Israel, 2002..

[4]  Paola Malanotte-Rizzoli,et al.  Principles of Ocean Physics , 1989 .

[5]  A. Bricaud,et al.  Modeling the inherent optical properties of the ocean based on the detailed composition of the planktonic community. , 2001, Applied optics.

[6]  Mark Alan Chancey,et al.  Short Range Underwater Optical Communication Links , 2005 .

[7]  V. I. Haltrin,et al.  Chlorophyll-based model of seawater optical properties. , 1999, Applied optics.

[8]  Thomas J. Hayward,et al.  Underwater Acoustic Communication Channel Capacity: A Simulation Study , 2005 .

[9]  Akira Ishimaru,et al.  Wave propagation and scattering in random media , 1997 .

[10]  E. Fry,et al.  Absorption spectrum (380-700 nm) of pure water. II. Integrating cavity measurements. , 1997, Applied optics.

[11]  K. Carder,et al.  Marine humic and fulvic acids: Their effects on remote sensing of ocean chlorophyll , 1989 .

[12]  A Ishimaru,et al.  Polarized pulse waves in random discrete scatterers. , 2001, Applied optics.

[13]  D. Risović Effect of suspended particulate-size distribution on the backscattering ratio in the remote sensing of seawater. , 2002, Applied optics.

[14]  L. Freitag,et al.  Optical Modem Technology for Seafloor Observatories , 2005, OCEANS 2006.

[15]  김성,et al.  Transmission , 1922, Sexistence.

[16]  A Ishimaru,et al.  Transmission, backscattering, and depolarization of waves in randomly distributed spherical particles. , 1982, Applied optics.

[17]  E. Fry,et al.  Empirical equation for the index of refraction of seawater. , 1995, Applied optics.

[18]  Akira Ishimaru,et al.  Modeling the Point-to-Point Wireless Communication Channel under the Adverse Weather Conditions(Antennas and Propagation for Wireless Communications)( Wave Technologies for Wireless and Optical Communications) , 2004 .

[19]  Dario Pompili,et al.  Underwater acoustic sensor networks: research challenges , 2005, Ad Hoc Networks.