摘要： 针对地面环境监控中的人员脚步信号识别问题，提出一种基于希尔伯特-黄变换的识别算法。利用经验模态分解方法将探测得到的震动信号分解成若干个固有模态函数分量，找出各分量在频谱上的奇异点，通过对这些奇异点的希尔伯特谱进行判定，实现对人员脚步信号的识别。实验结果证明，该算法具有较高的正确识别率。
关键词:
地面环境监控,
人员脚步信号识别,
希尔伯特-黄变换,
震动信号,
希尔伯特谱
Abstract: Aiming at the human footstep signal identification of the ground environment monitoring, an identification algorithm based on Hilbert-Huang Transform(HHT) is proposed. By using Empirical Mode Decomposition(EMD), the vibrating signal is decomposed into a collection of Intrinsic Mode Function(IMF) and find out whether there is singular point or not on the spectrum of these IMF. It judges the singular point on the basis of the Hilbert spectrum and thus makes out the human footstep. Experimental results show that the algorithm has high accuracy.
Key words:
ground environment monitoring,
human footstep signal identification,
Hilbert-Huang Transform(HHT),
vibrating signal,
Hilbert spectrum
中图分类号:
吴甄非, 余志军, 刘海涛. 基于HHT的人员脚步信号识别算法[J]. 计算机工程, 2011, 37(19): 168-170,173.
TUN Juan-Fei, TU Zhi-Jun, LIU Hai-Chao. Human Footstep Signal Identification Algorithm Based on Hilbert-Huang Transform[J]. Computer Engineering, 2011, 37(19): 168-170,173.