A simulation study on performance validation of indoor location estimation based on the radial positive distribution
A simulation study on performance validation of indoor location estimation based on the radial positive distribution
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DOI：
10.1007/978-981-10-2717-8_7
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发表时间：
2015-10
期刊：
影响因子：
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通讯作者：
Kosuke Okusa;T. Kamakura
中科院分区：
文献类型：
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作者：
Kosuke Okusa;T. Kamakura
研究了用统计径向分布模型分析室内位置估计的问题。在本研究中，我们假设发射器和接收器之间的观测距离数据为统计径向分布。提出的方法是基于房间内多个发射机无线电站点间正分布产生的径向分布的边际似然。本文比较了径向威布尔分布和径向对数正态分布在室内位置估计中的性能。为了比较每种基于分布的方法的性能，我们进行了位置估计的仿真研究。结果表明，基于径向威布尔分布的室内空间定位方法具有较高的精度。
We study the problem of analyzing indoor location estimation by statistical radial distribution model. In this study, we suppose the observed distance data between transmitter and receiver as a statistical radial distribution. The proposed method is based on the marginal likelihoods of radial distribution generated by positive distribution among the several transmitter radio sites placed in the room. In this paper we compare the performance of radial Weibull distribution and radial log-normal distribution for the indoor location estimation. To compare the performance of each distribution based approach, we conducted simulation study of location estimation. As a result, radial Weibull distribution based method shows high accuracy for the indoor spatial location estimation.