基于RSS空间线性相关的WLAN位置指纹定位算法
发布时间：2019-02-22 11:34
【摘要】：针对RSS(接收信号强度)时变性以及不同终端信号接收能力的差异性,导致WLAN位置指纹定位不稳定的问题,基于RSS空间线性相关性提出一种新颖的位置指纹定位算法。在每个参考点分别采集多组RSS样本形成特征矩阵,并构建离线位置指纹数据库。定位时,通过计算实时RSS矩阵与指纹库参考点相关性,得到最相关的k个参考点,利用二次加权质心算法计算用户的最终位置。为了有效降低信号时变性的影响,采样时进行了滤波、排序等处理,构建离线指纹数据库时尽量增加采样次数,但需要对样本进行聚合处理以适应定位相关性计算。实验结果表明,该算法在保证较高定位准确度的同时,针对不同终端有更好的定位稳定性。
[Abstract]:A novel location fingerprint location algorithm based on linear correlation of RSS (received signal intensity) is proposed to solve the problem of instability of WLAN location fingerprint location due to the time-varying of RSS (received signal intensity) and the difference of signal receiving ability between different terminals. At each reference point, multiple groups of RSS samples were collected to form a feature matrix, and an off-line fingerprint database was constructed. By calculating the correlation between the real-time RSS matrix and the reference points of the fingerprint database, the most relevant k reference points are obtained, and the final position of the user is calculated by using the quadratic weighted centroid algorithm. In order to reduce the influence of time-varying signal effectively, filtering and sorting are carried out during sampling, and the number of samples is increased when constructing off-line fingerprint database, but it is necessary to aggregate the samples to adapt to the calculation of location correlation. The experimental results show that the algorithm not only ensures high localization accuracy, but also has better localization stability for different terminals.
【作者单位】： 杭州电子科技大学计算机学院;中浙信科技咨询有限公司;
【基金】：国家青年科学基金资助项目(No.61602410)~~
【分类号】：TN925.93
本文编号：2428180
[Abstract]:A novel location fingerprint location algorithm based on linear correlation of RSS (received signal intensity) is proposed to solve the problem of instability of WLAN location fingerprint location due to the time-varying of RSS (received signal intensity) and the difference of signal receiving ability between different terminals. At each reference point, multiple groups of RSS samples were collected to form a feature matrix, and an off-line fingerprint database was constructed. By calculating the correlation between the real-time RSS matrix and the reference points of the fingerprint database, the most relevant k reference points are obtained, and the final position of the user is calculated by using the quadratic weighted centroid algorithm. In order to reduce the influence of time-varying signal effectively, filtering and sorting are carried out during sampling, and the number of samples is increased when constructing off-line fingerprint database, but it is necessary to aggregate the samples to adapt to the calculation of location correlation. The experimental results show that the algorithm not only ensures high localization accuracy, but also has better localization stability for different terminals.
【作者单位】： 杭州电子科技大学计算机学院;中浙信科技咨询有限公司;
【基金】：国家青年科学基金资助项目(No.61602410)~~
【分类号】：TN925.93
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