室内位置指纹定位方法中的小波去噪应用

Application of wavelet domain denoising in location fingerprint based indoor positioning

采集的位置指纹包含的大量随机噪声严重影响着位置指纹定位方法的精确度,为了提高位置指纹定位方法的精确度,文中提出了一种基于卡尔曼滤波和小波去噪相结合的方法来去除采集获得的位置指纹中的随机噪声的方法。实验结果表明,与常规的去噪方法相比,基于此方法的位置指纹定位算法精度有一定程度的提高。

A large number of random noises in location fingerprint seriously affect accuracy of the indoor positioning based on location fingerprint. In order to improve the accuracy,this paper presents an approach based on Kalman filtering and wavelet domain denoising to remove the random noise in the location fingerprint. The experimental result shows that compared with the conventional denoising method,location fingerprint based positioning with this method can get a better accuracy.