基于WiFi的室内测距研究
Research on Indoor Distance Measurement Based on WiFi
在室内环境下，信号强度易受温度，湿度等不确定因素的影响，产生较大的波动，导致定位误差变大。 所以对原始信号的处理是非常必要的。本文分析了室内环境下信号强度具有对数正态分布的特性，并利用该分布特性提出了一种对数模型处理方法。通过与高斯模型和均值模型比较，得到对数模型较优。在室内18米测距范围内精度可达到3米。
In indoor environment, The RSSI is influenced by uncertain factors such as the temperature, humidity, etc. It will cause great fluctuations which make positioning error bigger. It is necessary to process original data. We analyze the character of RSSI in indoor environment to find out that RSSI conforms to lognormal distribution. By using this character, we proposed a new processing methods—the logarithm method. This method shows relatively good accuracy by compared with gauss and mean models. Accuracy of distance measurement can reach 3 meter within range of 18m .
姜莉、解永平
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WiFiRSSI室内测距对数模型信号特征
WiFiRSSIindoor distance measurementlogarithm methodproperties of the RSS
姜莉,解永平.基于WiFi的室内测距研究[EB/OL].(2010-05-14)[2025-08-16].http://www.paper.edu.cn/releasepaper/content/201005-262.点此复制
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