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基于参数拟合的距离—损耗模型室内定位算法 被引量:10

An indoor location algorithm based on distance-loss model with parameter fitting
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摘要 基于室内RSS,提出了一种用于室内用户定位的传播距离-损耗模型,由一些已知距离下的相对接收功率值拟合得到模型参数;并用最大似然法根据接收到的相对功率值估计用户位置。模拟及实验结果表明,该方法都可以获得较为精确的室内用户位置估计。 Based on indoor RSS, a new 'distance-loss' model, and parameters estimation by curve fitting based on the relative received signal strength at known distance, are proposed. Location estimate can be achieved by maximum likelihood (ML) estimation algorithm. Simulations and experiments show the algorithm is effective and can obtain quite precise location result.
出处 《电路与系统学报》 CSCD 北大核心 2007年第1期1-5,共5页 Journal of Circuits and Systems
基金 国家自然科学基金资助项目(60172021)
关键词 室内定位 距离一损耗模型 参数拟合 最大似然估计 indoor location distance-loss model linear fitting statistical fitting maximum likelihood estimation
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参考文献4

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  • 4Masato ASO,Takahiko SAIKSAWA,Takeshi HATTORI.Maximum Likelihood Location Estimation Using Signal Strength and the Mobile Station Velocity in Cellular Systems[A].Vehicular Technology Conference.IEEE 58^th[C].2003-10,2:742-746.

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