基于小波变换对连续波多普勒测速雷达的回波信号进行分析和研究，利用其对于表征信号的突变（瞬态）特征，对轻武器各种曳光弹头的曳光时间进行了抽取。试验结果表明，利用该方法能准确地抽取出曳光开始和结束时刻，且精度优于传统方法。
Abstract
The echo signal of continuous wave Doppler speed measurement radar was analyzed and studied on the basis of wavelet transform. The tracer times were extracted from various kinds of tracer bullets of small arms by using the wavelet transform to characterize the sudden change (transient state) of the signal. The test result indicates that the method can be used to accurately extract the beginning moment and the ending moment of tracer, and is more accurate than the traditional methods.
关键词
信息处理技术 /
小波变换 /
雷达信号 /
突变 /
曳光抽取
{{custom_keyword}} /
Key words
information processing technique /
wavelet transform /
radar signal /
sudden change /
trace extraction
{{custom_keyword}} /
{{custom_sec.title}}
{{custom_sec.title}}
{{custom_sec.content}}
参考文献
[1] MALL S. A wavelet tour of signal processing[M]. San Diego： A- cademic Press,1998 ： 354 — 357.
[2] Kilby J, Gholam Hosseini H. Wavelet analysis of surface elec?tromyography signals[C] // Proceedings of 26th Annual Interna?tional Conference EMBC 2004. US： Engineering in Medicine and Biology Society, 2004： 384-387.
[3] Guven H E. Optimal short-time Fourier transform for monocom?ponent signals[C]//Proceedings of the IEEE 12th signal Process?ing and Communications Applications Conference 2004. US： IEEE, 2004： 312-315.
[4] Sullivan C J, Martinez M E，Gamer S E. Wavelet analysis of sodium iodide spectra[J] ? Nuclear Science Symposium Conference Record, 2005 IEEE, 2005,1(10)： 302-306.
[5] Mallat S，Hwang W L. Sigularity detection and processing with wavelets[j] . IEEE Trans on IT，1992, 38:610 — 628.
{{custom_fnGroup.title_cn}}
脚注
{{custom_fn.content}}
