期刊文献+

基于频谱分析的雷达信号分选新方法 被引量:4

A Novel Sorting Method of Radar Signal based on Spectrum Analysis
下载PDF
导出
摘要 相参性是现代雷达的普遍性质,利用雷达脉冲之间的相参性,提取相参特征参数,并运用于雷达信号分选,对降低当前信号分选中存在的"漏批"率具有重要的意义。因此在基于频谱分析的相参特征模型基础上,研究了基于最小二乘模板匹配误差的相参特征,并提出了具体应用中的改进措施。仿真结果表明,利用频谱主峰图像最小二乘模板匹配误差这一相参特征参数进行信号分选,可以有效地减少"漏批"率。 Coherent is an important characteristics of the modern radar,by use of the coherent specific character between the Radar pulses,abstract coherent specific character parameter,and apply the parameter to the Radar signal sorting,is extremely valuable to reduce the probability of leak-alarm.this paper extracts the spectrum peak image of the reconstruct signal by the way of spectrum,and introduce a coherent characteristic parameter based on Least-Square Template Matching Error(LSTME).Theoretical analysis and simulation both indicate that the spectrum peak image of the reconstruct signal is one of the manifestations of coherent characteristics,use the coherent characteristic parameter to signal Sorting can reduce the probability of lead-alarm.
机构地区 空军雷达学院 [
出处 《指挥控制与仿真》 2012年第2期109-113,127,共6页 Command Control & Simulation
关键词 相参 信号分选 频谱分析 最小二乘模板匹配误差 coherent signal sorting spectrum analysis LSTME
  • 相关文献

参考文献9

二级参考文献30

共引文献34

同被引文献43

  • 1姚侠文,李伟,李吉,姚志红.从悉尼奥运会点评我国男子体操的优势及存在问题[J].北京体育大学学报,2001,24(2):258-259. 被引量:20
  • 2李合生,韩宇,蔡英武,陶荣辉.雷达信号分选关键技术研究综述[J].系统工程与电子技术,2005,27(12):2035-2040. 被引量:71
  • 3Nishignehi K, Kobayashi M. Improved algorithm for estima- ting pulse repetition intervals [ J ]. IEEE Transactions on Aerospace and Electronic Systems, 2000, 36(2):409-421.
  • 4Pace P E. Detecting and classifying low probability of inter- cept radar [ M ]. 2nd ed. Norwood: Artech House, 2009: 31-37.
  • 5Fadili M J, Starck J L, Bobin J, et al. Image decomposi- tion and separation using sparse representations: an over- view[ C ] // Proceedings of the IEEE, 2010, 98 ( 6 ) : 983-994.
  • 6Cho N. Kuo C C J. Sparse music representation with source- specific dictionaries and it' s application to signal separa- tion [ C ] JJ IEEE Transactions on Audio, Speech, and Language Processing, 2011,19 (2) : 326-337.
  • 7Visnevski N. Syntactic modeling of multi-function radars [ D]. McMaster University, PhD Thesis, 2005.
  • 8Wiley R G. ELINT: The interception and analysis of ra- dar signals[M]. Second Edition, Boston, MA: Artech House, 2006:317-356.
  • 9Wang J, Lei P, Yang D. et al. A novel deinterleaving al- gorithm of radar pulse signal based on DSP [ C ]//IEEE International Symposium on Industrial Electronics (ISlE 2009 ), Seoul, Korea, July 5- 8, 2009 : 1899-1903.
  • 10Fan F H, Yin X Z. Improved method for deinterleaving radar pulse trains with stagger PRI form dense pulse series [ C] //2nd International Conference on Signal Processing Systems (ICSPS) , Dalian, China, July 5-7, 2010: V3- 250-V3-253.

引证文献4

二级引证文献40

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部