| 杨 敏,刘思怡.一种基于先验信息的 WiFi 室内定位方法[J].电子测量与仪器学报,2020,34(6):163-168 |
| 一种基于先验信息的 WiFi 室内定位方法 |
| WiFi based indoor positioning method using prior information |
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| DOI： |
| 中文关键词: 基于位置的服务 WiFi 定位 分级定位 最大后验概率 |
| 英文关键词:location based service WiFi based positioning hierarchical positioning maximum posterior estimation |
| 基金项目:2019 年度科研重点项目(KJZD-K201903901)资助 |
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| 中文摘要: |
| 多种室内定位技术中,基于 WiFi 的定位在基于位置的服务( location based service,LBS)中有着巨大的应用潜力。 提出
一种新的室内 WiFi 定位方法,结合分级定位结构,能够有效利用人员行走模式先验信息。 该方法在预备粗定位阶段通过上一
时刻的位置推断可能区域,通过信号指纹检测器判断可能区域是否正确,通过再次粗定位阶段重新推算可能区域。 在精定位阶
段,该方法通过最大后验概率密度方法得到位置估计。 利用开源数据集进行实验,证明了所提方法相比传统的 3 种方法(无先
验的最大后验、先验 kNN 和无先验 kNN 方法),定位精度分别提高了 3%、5%和 7%。 |
| 英文摘要: |
| Among many indoor positioning methods, WiFi based indoor positioning has great potential use in location based Service
(LBS) applications. A new WiFi based positioning method is proposed in this paper, which adopts the prior information of user walking
patterns. The method can also effectively adopt the traditional hierarchical positioning structure. In the pre-coarse positioning phase, the
method can adopt the position estimation from the previous time to define the potential areas. In the signal fingerprint test phase, the
potential areas can be tested to know whether it is right or wrong. If wrong, the second coarse positioning phase is carried out to re-define
the potential areas. Then in the fine positioning phase, the maximum posterior (MAP) based method is adopted to estimate the user
position. The proposed method is tested using an open access dataset, the results have shown that the proposed method can effectively
adopt prior information and can increase positioning accuracy by 3%, 5% and 7% over the traditional methods ( no prior&MAP,
prior&kNN and no prior&kNN) respectively. |
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