Modeling and Understanding of Radiowave Propagation in Forested Environments

Ali YilmazUniversity of Texas at Austin森林环境中无线电波传播的建模和理解理解森林环境如何支持无线电波传播是设计、开发和实现先进无线通信和遥感天线系统的基础。 然而，目前对森林环境中波传播的理解受到其复杂性的限制。 森林设置包括电大和不均匀的感兴趣的区域组成的既不定期的结构，也不完全随机的介质。 因此，现实的建模和分析森林传播带来了严峻的计算挑战。 该项目的目标是利用快速和可扩展的基于积分方程的计算电磁学（CEM）算法的最新进展，以促进对森林环境中无线电波传播和天线操作的理解。 研究人员正在超级计算集群上开发CEM求解器，专门用于在现实的森林环境中高效准确地模拟波的传播。 他们使用这些快速求解器来生成传播损耗的多维数据库，该数据库是范围、天线高度、频率、极化以及树木形态和分布的函数。 研究人员正在利用这个数据库来识别占主导地位的和可能的新传播现象，并设计新颖的小型天线系统，有效地耦合辐射功率的识别propagationmechanism.This项目演示了如何最新的CEM求解器可以有效地定制和部署在高性能计算机上，以分析复杂的系统的性质。 所开发的方法也可以使涉及波与合成介质（如电磁超材料）相互作用的其他应用受益。 该项目将改善得克萨斯大学奥斯汀分校的电磁学研究和教育基础设施，因为它正在促进具有快速CEM求解器专业知识的新初级教师与参与森林通信信道研究重大项目的高级教师之间的合作。 调查人员正在通过涉及代表性不足的少数群体的各种外联活动传播研究结果。

Ali YilmazUniversity of Texas at AustinModeling and Understanding of Radiowave Propagation in Forested EnvironmentsUnderstanding how forested environments support radiowave propagation is fundamental to the design, development, and implementation of advanced wireless communication and remote sensing antenna systems. The current understanding of wave propagation in forested environments, however, is limited by their complexity. The forest setting includes electrically large and inhomogeneous regions of interest composed of neither regular periodic structures nor completely random media. Thus, realistic modeling and analysis of forest propagation gives rise to severe computational challenges. The objective of this project is to utilize the latest advances in fast and scalable integral equation-based computational electromagnetics (CEM) algorithms to advance the understanding of radiowave propagation and antenna operation in forested environments. The investigators are developing CEM solvers on supercomputing clusters specially tailored for efficient and accurate simulation of wave propagation in realistic forested environments. They are employing these fast solvers to generate a multi-dimensional database of propagation loss as a function of range, antenna height, frequency, polarization, and tree morphology and distribution. The investigators are exploiting this database to identify dominant and possibly new propagation phenomena and to design novel small antenna systems that efficiently couple radiated power to the identified propagation mechanisms.This project demonstrates how the latest CEM solvers can be effectively tailored and deployed on high-performance computers to analyze complex systems in nature. The methodology developed can also benefit other applications involving wave interactions with synthetic media such as electromagnetic metamaterials. The project will improve electromagnetics research and education infrastructure at the University of Texas at Austin as it is fostering collaboration between a new junior faculty member with expertise in fast CEM solvers and a senior faculty member involved in major programs on forest communication channel studies. The investigators are disseminating research findings through various outreach activities that involve underrepresented minorities.