期刊文献+

一种强干扰背景下雷达目标检测算法 被引量:2

Algorithm of Target Detection for Radar in Strong Interference Background
下载PDF
导出
摘要 将WVD和Hough变换相结合,利用时频聚集性和Hough变换点的累积得到的信号的检测结果,用来检测雷达目标回波信号。然而在强干扰低信噪比下检测能力有限。利用线性调频信号瞬时频率的线性特征,只采用信号WVD时间段的中间部分值进行Hough变换,在时频平面上对WVD的结果进行时间轴上的截取技术,对检测算法作了改进。通过仿真结果表明,改进的检测算法在低信噪比和强干扰环境下能有效地检测出目标信号。 WVD and Hough transform are combined to detect the radar target echo signal,by making use of time and frequency domain accumulative performance of WVD and cumulative points of Hough transform.But the performance is limited in strong interference and low signal and noise ratio(SNR) background.An improved method is presented for it,by using of instantaneous frequency feature of linear frequency-modulated signal,only make Hough transform for the middle part of WVD time domain.Time axis interception method is taken for the WVD result in time and frequency domain.Simulation result shows that improved algorithm can detect target signal in strong interference and low SNR background.
出处 《舰船电子工程》 2011年第5期67-69,82,共4页 Ship Electronic Engineering
关键词 雷达 强干扰 目标检测 radar strong interference target detection
  • 相关文献

参考文献8

二级参考文献35

共引文献611

同被引文献23

  • 1王成儒,顾广华.一种采用背景统计技术的视频对象分割算法[J].光电工程,2004,31(8):57-60. 被引量:12
  • 2邹顺,张群飞,靳学明.基于PRI变换的雷达信号分选[J].计算机仿真,2006,23(6):41-44. 被引量:9
  • 3杨洪丰,王磊.中频窄带数字正交接收机的设计与实现[J].中国电子科学研究院学报,2007,2(1):102-107. 被引量:2
  • 4I MARANA A N, VELASTIN S A, COSTA L F, et al. Automatic Estimation of Crowd Density Using Texture[J]. Safety Science, 1998,28 (3) : 165-175.
  • 5MARANA A N, VELASTIN S A, COSTA L F, et al. Estimation of Crowd Density Using Image Processing[C]. IEEE Colloquium on Image Processing for Security Applications, 1997:11/ 1-11/8.
  • 6DAVIES A C,YIN J H,VELASTIN S A,et al. Crowd monitoring using image processing[J]. IEE Electronics and Communication Engineering Journal, 1995,7 (1) : 37-47.
  • 7MARANA A N, VERONA V V. Wavelet Packet Analysis for Crowd Density Estimation[A]. Proceedings of the lASTED International Symposia on Applied Informaties, Innsbruek, Austria, ACTA Press, 2001 .. 535-540.
  • 8YU Ting, ZHANG Cha, Michael Cohen, et al. Monocular video foreground/background segmentation by tracking spatial-color Gaussian mixture models[C]. Washington: Proc IEEE Workshop on Motion and Video Computing, 2007.
  • 9FRIEDMAN N, RUSSELL S. Image segmentation in video sequences; a probabilistic approach[C]. Proceeding of the Thirteenth Annual Conference on Uncertainty in Artificial Intelligence. San Francisco, CA: Morgan Kaufmann Publishers, 1997:175-181.
  • 10赵国庆.雷达对抗原理[M]西安:西安电子科技大学出版社,1999.

引证文献2

二级引证文献5

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