期刊文献+

基于广义S变换进行雷达信号时频滤波去噪 被引量:4

Time-frequency Filtering of Radar Signal Based on Generalized S Transform
下载PDF
导出
摘要 S变换自问世以来,凭借其优越性已经被广泛地应用于数字信号处理中。针对深空目标雷达回波信号的复杂性,为了得到较好的雷达回波信号,将基于广义S变换的时频滤波应用于雷达回波信号去噪中,并利用低通滤波器设计了时频滤波算子,克服了传统滤波去噪方法滤波因子不能随时间、频率变化而变化的缺陷。通过理论分析与仿真波形对比表明,滤波后能有效地去除噪声,很好地保留了原始雷达回波信号的信号特征,展示了基于广义S变换的时频滤波的可行性,为雷达回波信号去噪提供提供了一种很好的方法。 The S Transform has been widely used in digital signal processing since it came out. The radar echo signal of targets in space is very complex, so this paper presents the time- frequency filtering of radar signal based on generalized S transform and designs the time- frequency filter to conquer the defect caused by traditional filter which doesn't change with time and frequency. It shows that the filter can remove noise effectively and reserv~ signal character of the primitive radar echo signal by theory analysis and simulation results. So, it is feasible of the time- frequency filter based on general- ized S transform in this field, and it is a good method in radar echo signal process.
出处 《航空计算技术》 2010年第5期23-25,共3页 Aeronautical Computing Technique
基金 航天支撑基金资助项目(N9XW0002) 西北工业大学科技创新基金(2008KJ02011)
关键词 S变换 广义S变换 时频分析 时频滤波器 s- transform the generalized s- transform time- frequency analysis time- frequency filter
  • 相关文献

参考文献8

  • 1Dash P K, Behera H S, Lee I W C. Time sequence data mining using time - frequency analysis and soft computing techniques [ J ]. Applied Soft Computing,2005,8 : 202 - 215. 被引量:1
  • 2张贤达,保铮..非平稳信号分析与处理[M],2001:446.
  • 3王殿伟,李言俊,张科,徐焕民.基于时频分析的雷达信号滤波方法[J].计算机测量与控制,2008,16(12):1909-1911. 被引量:5
  • 4Cao Siyuan, Chen Xiangpeng. The second - generation wavelet transform and its application in denoising of seismic data [ J ]. Applied geophysic, 2005,2 (2) : 70 - 74. 被引量:1
  • 5赵淑红,朱光明.S变换时频滤波去噪方法[J].石油地球物理勘探,2007,42(4):402-406. 被引量:52
  • 6R G Stockwell, L Mansinha, R P Lowe. Localization of the complex spectrum: The S transform [ J ]. IEEE Transactions on signal processing, 1996,44 (d) :998 - 1001. 被引量:1
  • 7高静怀,满蔚仕,陈树民.广义S变换域有色噪声与信号识别方法[J].地球物理学报,2004,47(5):869-875. 被引量:66
  • 8V C Chen, F Li, S. - S. Ho, H Wechsler. Analysis of Micro - Doppler Signatures [ J ]. IEEE Proc. - Radar, Sonar Navig, 2003,150(4) :271 -276. 被引量:1

二级参考文献22

  • 1高静怀,满蔚仕,陈树民.广义S变换域有色噪声与信号识别方法[J].地球物理学报,2004,47(5):869-875. 被引量:66
  • 2李天伟,贾传荧,韩云东.改进小波包分析在雷达图像消噪中的应用[J].计算机测量与控制,2006,14(12):1667-1669. 被引量:4
  • 3S. R. Samantaray P. K. Dash Pattern recognition based digital relaying for advanced series compensated line [J]. International Journals of Electrical Power Energy System, 2007, (6): 1-5. 被引量:1
  • 4Dash P K, Bchera H S, Lee I W C. Time sequence data mining using time- frequency analysis and soft computing techniques [J] Applied Soft Computing, 2008, 8:202-215. 被引量:1
  • 5Stockwell R G. Mansinhal L Lowe R. P Localization of the complex spectrum: the S-transform [J] IEEE Transaction on Signal Processing, 1996, 44 (4): 998-1001. 被引量:1
  • 6Mansinhal P. Time-local spectral analysis for non-stationary time series: the S-transform for noisy signals [J]. Fluctuation and Noise Letters, 2003, 3 (3): 357- 364. 被引量:1
  • 7Dash P K, Samantaray S R, Panda G. Fault analysis of advanced series compensated line using S-transform and pattern recognition approach [J]. IEEE IPEC05. 2005: 1-6. 被引量:1
  • 8Chen V C, etc. Analysis of Micro-Doppler Signatures [J]. IEEE Proc. -Radar, Sonar Navig, 200a, 150 (4): 271-276. 被引量:1
  • 9[1]Stockwell R G, mansinha L, lowe R P. Localization of the complex spectrum: the S transform. IEEE Trans. on Signal Processing,1996,17:998 ~ 1001 被引量:1
  • 10[3]C Robert Pinnegar, Lalu Mansinha. The S-transform with windows of arbitrary and varying shape.Geophysics, 2003,68( 1 ): 381 ~ 385 被引量:1

共引文献114

同被引文献41

引证文献4

二级引证文献29

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