基于变异系数法的广播无线电信号传播融合预测模型

IF 4.8 1区 计算机科学 Q2 ENGINEERING, ELECTRICAL & ELECTRONIC
Yulong Hao;Jiaxuan Weng;Jian Wang;Zhongle Wu;Cheng Yang
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引用次数: 0

摘要

为了支持广播事业的规划和发展,我们首先在无线电波传播预测中引入变异系数法(CVM),建立了一种新的融合预测模型,以提高广播传播模型的准确性,降低融合建模方法的复杂性。本文的主要贡献如下:(1)首次将CVM引入信道建模领域,并在此基础上提出了一种高精度、低复杂度的融合建模方法。(2)系统分析了CVM和融合建模方法,建立了基于改进CVM的融合通道模型。实验结果表明,与ITU-R P.1546、ITU-R P.2001和ITM模型相比,所提模型的预测精度分别提高了50.39%、60.47%和55.98%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Fusion Prediction Model of Broadcast Radio Signal Propagation Based on the Coefficient of Variation Method
To support the planning and development of broadcasting, we first develop a novel fusion prediction model by introducing the coefficient of variation method (CVM) in radio wave propagation prediction to enhance the accuracy of the broadcast propagation model and reduce the complexity of the fusion modeling method. The main contributions of this paper are as follows: (1) The CVM is introduced into the field of channel modeling for the first time, and a fusion modeling approach with high accuracy and low complexity based on this method is proposed. (2) A systematic analysis of the CVM and the fusion modeling approach is conducted, establishing a fusion channel model based on an improved CVM. Experimental results indicate that compared to the ITU-R P.1546, ITU-R P.2001, and ITM models, the improves the prediction accuracy of the proposed by 50.39%, 60.47%, and 55.98%, respectively.
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来源期刊
IEEE Transactions on Broadcasting
IEEE Transactions on Broadcasting 工程技术-电信学
CiteScore
9.40
自引率
31.10%
发文量
79
审稿时长
6-12 weeks
期刊介绍: The Society’s Field of Interest is “Devices, equipment, techniques and systems related to broadcast technology, including the production, distribution, transmission, and propagation aspects.” In addition to this formal FOI statement, which is used to provide guidance to the Publications Committee in the selection of content, the AdCom has further resolved that “broadcast systems includes all aspects of transmission, propagation, and reception.”
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