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KNN/ IMPROVED PCM HYBRID MEHOD FOR INDOOR LOCATION DETERMINATION IN WALN

机译:KNN /改进的PCM混合方法在WALN中进行室内位置测定

摘要

PURPOSE: wireless indoor infield measurement method is based on KNN (k nearest neighbor) and PCM (C-Mean of possible doctrine), that is, formed wireless fingerprint formula database by measure signal-to-noise ratio from several APs. ;The storage of CONSTITUTION: the first electric wave characteristic in the database and with wireless fingerprint type (S110). Utilize the KNN (S120) of selection k points. The k reference points of one group of first electric wave characteristic are formed (S130). The k reference points of one group of position coordinates are formed (S140). (S150) is formd in first electric wave feature group data and said reference point position coordinate base group including reference point including group. The center of one group of square value with minimum range and the first electric wave characteristic vector are selected (S160). The coordinate of the reference point of mean place belongs to selected generation. The location estimation (S170) of terminal. ;The 2012 of copyright KIPO submissions
机译:目的:无线室内野外测量方法是基于KNN(k最近邻)和PCM(可能的理论的C均值),即通过测量多个AP的信噪比形成无线指纹公式数据库。 ; CONSTITUTION的存储:数据库中的第一个电波特征,并具有无线指纹类型(S110)。利用选择k点的KNN(S120)。形成一组第一电波特性的k个参考点(S130)。形成一组位置坐标的k个参考点(S140)。在第一电波特征组数据和包括参考点的组的所述参考点位置坐标基组中形成(S150)。选择具有最小范围的一组平方值的中心和第一电波特性向量(S160)。平均位置参考点的坐标属于选定的世代。终端的位置估计(S170)。 ; 2012年版权KIPO提交文件

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