| 温变环境下RSSI测距温度改正建模 |
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| 引用本文： | 席广永,高俊,邹东尧,邵肖亚.温变环境下RSSI测距温度改正建模[J].测绘通报,2022,0(7):83-86. |
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| 作者姓名： | 席广永 高俊 邹东尧 邵肖亚 |
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| 作者单位： | 1. 郑州轻工业大学计算机与通信工程学院, 河南 郑州 450002;2. 河南省科学技术信息研究院, 河南 郑州 450003 |
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| 基金项目： | 河南省科技攻关项目(192102210133) |
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| 摘 要： | 现有RSSI测距中的路径损耗模型多依赖于经验模型,其环境适应能力较差。温度变化是影响RSSI观测的主要因素之一,进而影响RSSI测距精度。因此,构建包括温度改正项的信号传播路径损耗模型是温变环境下提高RSSI测距精度的关键。本文基于对数距离路径损耗模型,分析了将路径损耗指数视为温度函数和RSSI直接温度改正的两种温度改正建模方法,并提出了3种具体的RSSI测距温度改正模型。利用温变试验的RSSI实测数据,分析了RSSI随温度变化的特性,建立了RSSI测距温度改正模型。结果表明,RSSI测距温度改正的多项式改正项和混合改正项所建立的模型均具有较高的测距改正精度;但随着节点间距的增大,建模的误差也随之增大。
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| 关 键 词： | RSSI测距 温度改正 测距改正 测距模型 |
| 收稿时间： | 2021-08-09 |
| 修稿时间： | 2022-03-31 |
The modeling of RSSI ranging temperature correction in temperature variation environment |
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| XI Guangyong,GAO Jun,ZOU Dongyao,SHAO Xiaoya.The modeling of RSSI ranging temperature correction in temperature variation environment[J].Bulletin of Surveying and Mapping,2022,0(7):83-86. |
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| Authors: | XI Guangyong GAO Jun ZOU Dongyao SHAO Xiaoya |
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| Institution: | 1. School of Computer and Communication Engineering, Zhengzhou University of Light Industry, Zhengzhou 450002, China;2. Henan Provincial Institute of Scientific and Technical Information, Zhengzhou 450003, China |
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| Abstract: | Most of the existing path loss models of RSSI ranging rely on empirical models and have poor adaptability to the environment.Temperature variation is one of the main factors affecting RSSI observation and the accuracy of RSSI ranging.Therefore,the establishment of signal propagation path loss model including temperature correction term is the key to improve RSSI ranging accuracy in temperature variation environment.Based on the log-distance path loss model,two modeling methods of temperature correction which regard path loss index as a function of temperature and RSSI direct temperature correction are analyzed,and three specific temperature correction models of RSSI ranging are proposed.Using the measured data of RSSI from temperature variation experiment,the characteristics of RSSI with temperature variation are analyzed,and the RSSI ranging temperature correction models is established.The results show that the RSSI ranging temperature correction models established respectively by polynomial correction term and mixed correction term have high ranging correction accuracy,but with the distance between nodes increases,the modeling error increases. |
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| Keywords: | RSSI ranging temperature correction ranging correction ranging model |
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