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作 者:张紫越 严天峰 高锐 肖临虎 牛瑞婷 ZHANG Zi-yue;YAN Tian-feng;GAO Rui;XIAO Lin-hu;NIU Rui-ting(School of Electronics and Information Engineering,Lanzhou Jiaotong University,Gansu High Precision Beidou Positioning Technology Engineering Laboratory,Lanzhou 730070,China)
机构地区:[1]兰州交通大学电子与信息工程学院,甘肃省高精度北斗定位技术工程实验室,兰州730070
出 处:《宇航计测技术》2023年第5期75-81,100,共8页Journal of Astronautic Metrology and Measurement
基 金:国家自然科学基金(62161017);甘肃省青年科技基金(21JR7RA325);甘肃省重点人才项目(6660010201);甘肃省教育厅优秀研究生“创新之星”项目(2022CXZX-508)。
摘 要:随着移动通信技术和物联网的快速发展,预测室内短距离无线通信网络的信号覆盖情况成为当前的研究热点。基于十射线模型,自主开发了一种改进射线跟踪模型算法。该模型方法对微波室内传播提供可视化场景模拟,实现了室内短距离无线电波的传播预测和电磁波场强可视化。在多种场景测试并与其他室内电波传输模型对比,结果显示经过校准的模型均方根误差降低至5.53,准确度更高,能够更准确地预测室内环境中的信号接收功率。With the rapid development of mobile communication technology and the Internet of Things,predicting the signal coverage of short-range wireless communication networks indoors has become a current research hotspot.An improved ray-tracing modeling algorithm was developed independently based on the ten-ray model.This model method provides visualized scene simulation for microwave indoor propagation,realizing the prediction of short-range indoor radio wave propagation and visualization of electromagnetic field strength.Tested in a variety of scenarios and compared with other indoor airwave transmission models,the results show that the root mean square error of the calibrated model is reduced to 5.53,which is more accurate and can more accurately predict the received signal power in indoor environments.
分 类 号:TN92[电子电信—通信与信息系统]
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