Abstract

Wireless communication technology supports the safe implementation of maritime operations. The offshore electromagnetic wave propagation loss model is of great significance to the study of offshore wireless communication channels. The process of electromagnetic wave propagation on the sea can be expressed as a double-path model. Based on the ray tracing method, electromagnetic waves are regarded as numerous rays propagating from the source point. The rays are affected by the curvature of the earth and the refractive index of the air and will bend when propagating in the air. Rays incident on the rough sea surface will be reflected and absorbed. According to the wind speed and wind direction parameters, combined with the stochastic process method, the rough sea surface geometric model can be estimated. According to the salinity and temperature of the sea surface, the reflection coefficient and absorption coefficient of the rays can be determined. According to the tilt angle attitude of the transmitting antenna and the antenna pattern, the initial energy of the rays of different radiation directions can be determined. Offshore electromagnetic wave propagation loss model based on ray tracing method, research on receiving ball size design and offshore electromagnetic spectrum sensing method. The offshore electromagnetic wave propagation loss model proposed in this paper is based on the antenna attitude and rough sea surface model, which can more accurately describe the state of the offshore environment. Computational electromagnetics methods can effectively improve the estimation accuracy of the spatial distribution of offshore electromagnetic spectrum. According to the judgment of the rough sea surface geometric model and the position of the signal source to quickly estimate the effective ray, the ray tracing method is optimized and accelerated, and the speed of the model calculation is improved. Based on the ray tracing method and the rough sea surface model, an offshore electromagnetic wave propagation loss model is established. Combined with the auxiliary parameters of the sensor environment, it effectively describes the influence of the dynamic sea surface on the propagation of radio signals.

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