基于小波去噪的室内超宽带定位算法

An UWB indoor location algorithm based on wavelet de-noising

针对室内复杂环境所引起的NLOS误差,提出了一种利用小波良好抑制噪声特性的室内定位优化算法,选定IEEE 802.15.4a模型为超宽带室内无线定位的普适模型,在室内传统定位算法基础上利用小波去噪消除NLOS误差,从而改进优化了到达时间差定位算法(TDOA)。仿真结果表明,该算法较Chan算法和LS算法定位精度高,具有可行性。

For the indoor NLOS error caused by the complexity of the environment, this paper proposed an indoor positioning optimization algorithm using wavelet with its good noise suppression, in which we select IEEE 802.15.4a models as UWB indoor wireless positioning universal model and use wavelet denoising eliminate NLOS error based on indoors traditional location algorithm in order to optimize TDOA location algorithm. Simulation experiments show that the new algorithm has higher positioning accuracy and is feasible, compared with Chan algorithm and LS algorithm.