期刊文献+

线性调频步进信号雷达微动目标成像方法

ISAR Imaging Algorithm of Micro-motion Target under the Step-Frequency Chirp Signal
原文传递
导出
摘要 旋转和振动是最常见的微动形式。目标微动会产生微多普勒效应,微多普勒特征对于目标识别与分类具有重要意义。微多普勒的存在使得目标主体的ISAR像受到污染,严重时无法识别。微多普勒对雷达分辨率极其敏感,因此宽带信号下的微多普勒研究十分必要。在线性调频步进信号体制下,引入相消处理的思想,在精分辨谱图域分离并提取微动目标的微多普勒信息,得到较为清晰的目标ISAR像,仿真验证了方法的有效性。 The rotation and vibration are the common moving forms of micro-motion.Micro-motion target would generate micro-Doppler effect,which has great significance for target classification and recognition,while micro-Doppler would severely contaminate the ISAR image of target’s main body,thus resulting in hard recognition.Micro-Doppler is very sensitive to the radar resolution,so it is necessary to study the micro-Doppler under wideband radar.Under step frequency chirp signal system,the idea of cancellation technique is introduced to separate and extract micro-Doppler in the refined spectrogram,then the fairly clear ISAR image of micro-motion target is thus obtained.Simulation results indicate the effectiveness of this algorithm.
出处 《通信技术》 2012年第9期82-85,共4页 Communications Technology
关键词 线性调频步进信号 微动 相消 逆合成孔径雷达成像 step frequency chirp signal; micro-motion; cancellation; ISAR image
  • 相关文献

参考文献15

  • 1CHEN V C, LIPPS R. Time-frequency Signatures of Micro-Doppler Phenomenon for Feature Extraction[J]. Proc. SPIE,2000(4056) : 220-226.
  • 2CHEN VC, LI F Y, HO S S,et al. Micro-Doppler Effect in Radar: Phenomenon, Model and Simulation Study[j]. IEEE Trans, on AES, 2006, 42(01) : 2-21.
  • 3庄钊文,刘永祥,黎湘.目标微动特性研究进展[J].电子学报,2007,35(3):520-525. 被引量:128
  • 4THAYAPARAN T, STANKOVIC L, DJUR0VIC I. Target Detection and Feature Extraction in Indoor and Outdoor Environments Using Micro-Doppler Analysis[R]. Ottawa: Defence Research and Development Canada, 2008.
  • 5SETLUR P, AMIN M, AHMAD F. Analysis of Micro-Doppler Signals Using Linear FM Basis Decomposition[C]. SPIE Proceedings on Radar Sensor Technology, 2006(6210) :1-11.
  • 6SETLUR P, AMIN M, AHMAD F. Optimal and Suboptimal Micro-Doppler Estimation Schemes Using Carrier Diverse Doppler Radars[C]. Taipei: IEEE International Conference on Acoustics, Speech and Signal Processing, 2009: 3265-3268.
  • 7LI J, LING H. Application of Adaptive Chirplet Representation for ISAR Feature Extraction from Targets with Rotating Parts[J]. IEE Proc. Radar Sonar Navig., 2003, 150(04) : 284-291.
  • 8ZHANG Qun, YE0 T S, TAN H S, et al. Imaging of a Moving Target with Rotating Parts Based on the Hough Transform[J]. IEEE Transactions on Geoscience and Remote Sensing, 2008,46(01):291-299.
  • 9牛杰,刘永祥,秦玉亮,姜卫东,黎湘.一种基于经验模态分解的锥体目标雷达微动特征提取新方法[J].电子学报,2011,39(7):1712-1715. 被引量:20
  • 10杨有春,童宁宁,冯存前,贺泽维,贺思三.弹道目标中段平动补偿与微多普勒提取[J].宇航学报,2011,32(10):2235-2241. 被引量:19

二级参考文献84

共引文献264

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