针对超宽带无线传感器网络中噪声影响定位精度的问题,提出了一种基于包络提取的到达时间(time of ar-rival,TOA)估计算法。该算法首先利用小波变换的多分辨率分析有效地去除信号中的噪声成分,之后对去噪的信号进行希尔伯特变换提取其包络,最后选取第一个包络的最大值作为TOA的估计值。仿真结果表明,该算法抑制了噪声对TOA估计的影响,提高了估计精度。 Aiming at the problem of noise localization accuracy in UWB wireless sensor networks, a time of arrival (TOA) estimation algorithm based on envelope extraction is proposed. The algorithm first uses wavelet transform multi-resolution analysis to effectively remove the noise component of the signal, and then performs Hilbert transform on the denoised signal to extract its envelope. Finally, the maximum value of the first envelope is selected as TOA estimated value. The simulation results show that this algorithm suppresses the influence of noise on TOA estimation and improves the estimation accuracy.