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 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。
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 envdope extraction was proposed. The noise compo- nent 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.
出处
《山东大学学报（工学版）》
CAS
北大核心
2012年第5期24-29,共6页
Journal of Shandong University（Engineering Science）
基金
山东省高校科技计划项目(J11LG24)
关键词
超宽带
噪声
小波
希尔伯特变换
包络提取
ultra wideband
noise
wavelet ~ Hilbert transform
envelope extraction
