Research On Ray Tracing Based Wireless Channel Modeling Over Marine Surface

The ocean is not only a huge potential resource strove, but also supports the strategic space for future development. The2012national marine economic development125plans elevated the maritime strategy to a new height, ocean communication is one of the infrastructures in the marine industry, fisheries production, marine tourism, oil and gas development and other industries. How to create accurate and reliable marine communication system is of great significance to the marine strategy. With the continuous development of wireless communication, The Google X project Loon’s hot-air balloon station extends a new field of marine radio communication system. In the design of marine radio communication system, a wireless communication channel of marine plays an essential role.Traditional ocean surface channel focused on the ship to shore model and measuring channel model, which is of low applicability and much costing. In this paper, the deterministic channel modeling methods based on the study of the ocean surface ray tracing technology method over sea surface-fast ray tracing algorithm (FART, Fast Algorithm for Ray Tracing) and the angle of the search based on the marine ray-tracing algorithm (RTABA, Ray Tracing Algorithm Based on Searching the Angle) are proposed, FART and RTABSA algorithm of the biggest advantage can quickly search ray intersection with the ocean surface, just record useful rays which are received by the receiver, which save the computer memory space, effectively improve the ray tracing efficiency. Through collecting of statistical parameters of the ocean electromagnetic environment, the algorithm module designing, ray tracing test platform building, marine radio channel model constructing, setting up two-dimensional (2D, Two Dimensional) and three-dimensional (3D, Three Dimensional) viewing angle sections environment. Finally, the path loss, path delay, arrival angle characterizes are included in Wireless Channel over Sea Surface channel characteristics. The result of numerical simulation shows that, FART and RTABSA approach are able to describe the marine radio channel characteristics more accurately than the past, the model can be compared to lower cost channels ocean surface features. Furthermore, on the basis of this article ocean surface channel impulse response can be studied, a waveguide environment can be considered in the marine radio channel characteristics, considering mobile transceiver, wireless channel impulse response, and ultimately achieve broadband mobile communication channel modeling.