Abstract

To solve the problem of time-varying in wireless local area network (WLAN) indoor positioning, an adaptive wavelet threshold analysis (AWTA) method was proposed in this paper. The received signal strength (RSS) can be analyzed by wavelet multiresolution analysis, and the position of mutation signal can be found according to the decomposed signal. The wavelet coefficient thresholds can be dynamically adjusted due to the complex indoor environment, and the mutation signal can be filtered by dynamic thresholds. Experimental results show that the localization error with the proposed method, median filter and mean filter can be reduced by 1.18, 1.01, and 1.05 m respectively compared with such without processing. The proposed method of this paper has good localization results.

中文翻译：

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基于自适应小波阈值分析的室内定位方法

摘要

针对无线局域网(WLAN)室内定位时变问题，提出一种自适应小波阈值分析(AWTA)方法。通过小波多分辨率分析可以分析接收信号强度(RSS)，根据分解的信号可以找到突变信号的位置。由于室内环境复杂，小波系数阈值可以动态调整，通过动态阈值过滤突变信号。实验结果表明，与未处理的情况相比，所提方法、中值滤波器和均值滤波器的定位误差可分别降低1.18、1.01和1.05 m。本文提出的方法具有良好的定位效果。