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基于匹配追踪算法的激波信号特征提取
Feature extraction from the shockwave signals based on the matching pursuits algorithm
【摘要】 针对时域重叠、噪声混合等情况下从多弹头激波信号中提取时延特征参数问题,利用匹配追踪(Matching pursuits,MP)算法的自适应分解特性对激波混合信号进行特征提取,并针对运行时间长和内存占用大等问题提出"粗提取—精提取"两步改进算法,通过"粗提取"获得各个激波信号的长度,触发位置等先验知识,利用"分库"、"总库"思想重构过完备原子库进行精提取。仿真结果表明,该改进算法不仅能以较高精度提取时延特征参数,而且能有效提高提取速度和减小内存占用。
【Abstract】 Considering the problem of extracting time-delay feature parameters from multi-warhead shockwave signals in the situation of time-domain overlapping and mixed noise,the adaptive decomposition characteristics of matching pursuits( MP) were used to extract feature from shockwave signals and a two-step improved algorithm used in wide-extraction-precise-extraction was put forward to improve the extraction speed and reduce the memory cost. The length and trigger position of each shockwave was obtained by wide extraction for reconstructing over-complete atom dictionary in next precise extraction based on the part-dictionary and the whole-dictionary. The simulation indicated that the improved algorithm can not only extract time-delay feature parameters at a relatively high precision but also improve the extraction speed and reduce the memory cost effectively.
【Key words】 Shockwave signals; Matching pursuits; Over-complete atom dictionary;
- 【文献出处】 应用声学 ,Journal of Applied Acoustics , 编辑部邮箱 ,2014年06期
- 【分类号】TN911.7
- 【被引频次】4
- 【下载频次】62