使用简单最小均方误差校正因子提高射频建模精度

2022 IEEE 2nd International Conference on Digital Twins and Parallel Intelligence (DTPI) Pub Date : 2022-10-24 DOI:10.1109/DTPI55838.2022.9998888

Michael A. Varner, Frost Mitchell, Jie Wang, Kirk Webb, G. Durgin

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引用次数: 4

摘要

本文提出了一种快速、准确的方法来生成已建立的传播模型(如地形综合粗糙土模型(TIREM))的修正因子。最小均方误差(MMSE)技术的应用，扩展了这种已经准确和灵活的传播模型的适用性，并在犹他大学校园的信号强度测量活动的某些区域将测量和预测之间的标准偏差误差提高了6.9 dB。

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Enhanced RF Modeling Accuracy Using Simple Minimum Mean-Squared Error Correction Factors

This work proposes a quick, accurate means to generate correction factors for established propagation models such as the terrain-integrated rough earth model (TIREM). Minimum Mean-Squared Error (MMSE) techniques are applied, extending the applicability of this already-accurate and flexible propagation model and improving the standard deviation error between measurement and predicted by as much as 6.9 dB in some regions of a signal-strength measurement campaign at the University of Utah campus.

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2022 IEEE 2nd International Conference on Digital Twins and Parallel Intelligence (DTPI)

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