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基于包络提取的TOA估计算法
引用本文:刘倩,夏斌,彭荣群,陈乃澍.基于包络提取的TOA估计算法[J].山东大学学报(工学版),2012,42(5):24-29.
作者姓名:刘倩  夏斌  彭荣群  陈乃澍
作者单位:1.山东理工大学计算机科学与技术学院, 山东 淄博 255049; 2.南京军代局驻济南军代室, 山东 济南 250021
基金项目:山东省高校科技计划项目
摘    要: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 arrival, 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。

关 键 词:超宽带  噪声  小波  希尔伯特变换  包络提取  
收稿时间:2012-02-23

A TOA estimation algorithm based on envelope extraction
LIU Qian,XIA Bin,PENG Rong-qun,CHEN Nai-shu.A TOA estimation algorithm based on envelope extraction[J].Journal of Shandong University of Technology,2012,42(5):24-29.
Authors:LIU Qian  XIA Bin  PENG Rong-qun  CHEN Nai-shu
Affiliation:1. School of Computer Science & Technology, Shandong University of Technology, Zibo 255049, China; 2. Nanjing Military Agency Jinan Branch, Jinan 250021, China
Abstract:The noise could affect the location precision in ultra wideband wireless sensor network. In order to solve this problem, a time of arrival (TOA) estimation algorithm based on envelope extraction was proposed. The noise component of signal could be effectively removed by the multi resolution analysis of wavelet transform. Then the envelope of denoising signal was extracted by Hilbert transform. Finally, the maximum value of the first envelope was used as the TOA estimation value. The simulation results showed that the algorithm could suppress the noise and improve estimation precision.
Keywords:ultra wideband  noise  wavelet ~ Hilbert transform  envelope extraction
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