Visualization of Two-Dimensional Electromagnetic Situation

He, Jifeng; Fu, Yong Hua; Zhang, Yanming; Wang, Li

doi:10.1109/icic.2011.142

Cited by 2 publications

(1 citation statement)

References 2 publications

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“…In [2], the parallel computing method for multiple child nodes and the acceleration algorithm of ray tracing have been adopted to successfully accelerate the two-dimensional static simulation in the complex electromagnetic environment. In [3], a new method has been described to implement the visualization of two-dimensional static electromagnetic situation by using Delaunay triangles. In cognitive radio, researches in [4]- [6] focus on sampling method and interpolation method in order to arrange the position of the receivers for estimating the radio environment map of the observed area to minimize the cost.…”

Section: Introductionmentioning

confidence: 99%

Optimal visualization design for electromagnetic environment situation of the sea

Gao

Zhang

Baocong

2015

2015 IEEE Pacific Rim Conference on Communications, Computers and Signal Processing (PACRIM)

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Due to the ubiquity of wireless communication systems, electromagnetic environment over the sea has become more and more complex, which leads to the urgent demand on the cognition of electromagnetic environment and the accurate illustration of electromagnetic situation. In this paper, an optimal methodology to calculate the electromagnetic spatial energy distribution over the sea has been proposed. Based on the computation results, the electromagnetic environment situation map has been generated to illustrate the electromagnetic energy distribution over the sea under observation. According to the real-time information of equipment provided by database, the visualization work can be accomplished promptly to provide valuable information for potential interference discovery and decision making over the sea. In addition, an approach for spectrum management and distribution has also been proposed to discover vacant frequency band, which can improve the efficiency of spectrum utilization.

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Section: Introductionmentioning

confidence: 99%