摘要
针对WiFi室内定位时由于室内环境的复杂性、不确定性导致所采集的RSSI信号存在奇异值、波动性的问题,提出一种基于高斯滤波的改进算法,以期提高WiFi定位的测距精度:在原有高斯滤波算法基础上与全变分去噪算法相结合,引入ROF模型;并利用采集的RSSI矩阵数据梯度控制扩散系数,当扩散系数较小时保留有效信息,扩散系数较大时去除噪声;接着对去噪后的RSSI矩阵进行自适应校正,同时抑制阶梯效应引起的RSSI矩阵平滑不均匀现象,实现对强度信号的滤波及平滑处理。实验结果表明,该方法对提高WiFi定位的测距精度有较好效果。
Aiming at the problem of the singularity and the fluctuation of the collected RSSI signal in WiFi indoor positioning due to the complexity and uncertainty of the indoor environment,the paper proposed an improved Gaussian filter algorithm for promoting the ranging accuracy of WiFi positioning:the total variational denoising algorithmth was comined with original Gaussian filtering algorithm,and Rudin Osher Fatemi model was introduced;the diffusion coefficient was controlled by the gradient of the collected RSSI matrix data,that is,when the diffusion coefficient was smaller,the effective information was retained,while when the coefficient was larger,the noise was removed;then the denoised RSSI matrix was adaptively corrected with suppressing the unevenness of RSSI matrix caused by the staircase effect,so that the filtering and smoothing of the intensity signal was realized finally.Experimental result showed that the proposed method could well improve the ranging accuracy of WiFi positioning.
作者
路泽忠
卢小平
马靓婷
张航
LU Zezhong;LU Xiaoping;MA Liangting;ZHANG Hang(Key Laboratory of Mine Spatial Information and Technology of NASMG,Jiaozuo,Henan 454003,China)
出处
《导航定位学报》
CSCD
2019年第1期54-58,共5页
Journal of Navigation and Positioning
基金
2016年国家重点研发计划项目(2016YFC0803103)
河南省高校创新团队支持计划项目(14IRTSTHN026)
