室内指纹定位算法中的Radio map重构技术
首发时间:2012-01-17
摘要:针对室内定位中的指纹定位算法的精度和响应时间严重依赖于指纹地图(Radio-map),而Radio map的建立与更新慢,随着定位区域的增大其数据量也不断增大,限制该算法普及的重要原因,针对这个问题本文提出了Radio-map重构技术。通过对指纹地图进行异常数据的去除,结合传播模型对radio-map进行区域的划分,在区域内进行AP选择和降维,最后采用WKNN算法进行定位匹配,在保证定位精度的情况下减少了定位运算的时间和数据库的容量。在室内环境下对该定位算法进行了实验,结果表明该方法使得指纹地图的数据采集量大大减少,定位响应时间有明显的提高,定位精度有一定的提高,对于室内定位的普及具有参考价值。
关键词: 室内定位 传播模型 Radio map重构 WKNN算法
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Radio map reconstructed technique in indoor Fingerprint positioning algorithm
Abstract:The fingerprint for the positioning of indoor positioning accuracy and response time algorithms rely heavily on fingerprint map (Radio-map), while the radio map creation and update slowly, with the positioning of the region increases the data volume is increasing, and limit the algorithm is an important reason for popularity, this paper presents for Radio-map reconstruction technique. Fingerprint map through the removal of abnormal data, combined with propagation models for radio-map of regional division, in the region for AP selection and dimensionality reduction, and finally locate the matching algorithm using WKNN, to ensure positioning accuracy in the case of reduced positioning time and computing capacity of the database. In the indoor environment of the location algorithm for the experimental results show that the method makes fingerprint map data acquisition is greatly reduced, positioning significantly improved response time, positioning accuracy is improved to some extent, for the popularity of indoor positioning reference value.
Keywords: Indoor positioning Propagation model Radio map reconstruction WKNN algorithm
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