CAJ | 학술논문

该文提出将室内环境不可或缺的电源线作为天线，通过在电源线上注入宽带高频信号构造室内空间的位置指纹，进而实现室内空间精确定位。首先介绍了电源线上宽带高频信号注入模块的实现技术，以及室内空间位置指纹的构造方法；其次，介绍了基于朴素贝叶斯分类算法的室内定位原理；最后，通过实验分析证明在多训练样本情况下，基于朴素贝叶斯分类算法的定位算法比基于K最邻近点(KNN)分类算法的定位算法有更好的定位准确率和时间迁移适应能力。
해문제출장실내배경불가혹결적전원선작위천선，통과재전원선상주입관대고빈신호구조실내공간적위치지문，진이실현실내공간정학정위。수선개소료전원선상관대고빈신호주입모괴적실현기술，이급실내공간위치지문적구조방법；기차，개소료기우박소패협사분류산법적실내정위원리；최후，통과실험분석증명재다훈련양본정황하，기우박소패협사분류산법적정위산법비기우K최린근점(KNN)분류산법적정위산법유경호적정위준학솔화시간천이괄응능력。
The power line being indispensable under indoor environment is firstly introduced to be as the antenna, which wideband high-frequency signals are injected into it to obtain the location fingerprint so as to achieve precise indoor positioning. Firstly, the realization technology about the injection of the wideband high-frequency signal analysis is proposed, and the construction method of the indoor location fingerprint is deeply described. Meanwhile, the indoor positioning technology based on the naive Bias classification algorithm is discussed at detail. Finally, the experimental analysis shows that the positioning technology based on naive Bayes classification algorithm has higher positioning accuracy and better adaptive ability of time migration than the positioning technology based on K-Nearest Neighbor (KNN) classification algorithm, in the case of multiple training samples.