期刊文献+

基于AM-LFM分解的微动信号提取 被引量:10

Micro-Doppler Signal Extraction Based on AM-LFM Decomposition
下载PDF
导出
摘要 该文针对微多普勒信号与目标主体回波信号分离的问题,分析了包含微动结构的雷达回波模型,指出目标主体信号分量多普勒频率是固定的,而微多普勒信号的多普勒频率是时变的,且可用分段的线性调频信号拟合。在此基础上,提出了一种基于调幅-线性调频(AM-LFM)分解的微动信号分离算法,该算法根据调频率来判定各调幅-线性调频分量的对应结构,实现微多普勒信号提取。仿真及实测数据处理结果验证了算法的有效性。 The issue of micro-Doppler signal separation from collected data of targets with micro-motion structures is addressed.The signal mode for target with micro-motion structures is analyzed and the results show that the Doppler frequency of main body is constant and the micro-Doppler frequency is time varying,which can be fitted by a series of piecewise linear frequency modulation signal.A method,which decomposes radar signal to AM-LFM (amplitude modulation-linear frequency modulation) components and determines each component’s corresponding structure by frequency modulation rate,is proposed to extract micro-motion echoes from the main body echoes.Simulated and experimental results verify the correctness of proposed method.
出处 《电子与信息学报》 EI CSCD 北大核心 2010年第3期554-558,共5页 Journal of Electronics & Information Technology
关键词 信号分离 微多普勒 目标主体 CHIRPLET 调幅-线性调频 Signal separation Micro-Doppler Main body Chirplet AM-LFM
  • 相关文献

参考文献9

  • 1Chen V C, Li F, Ho Shen-Shyang, and Wechsler H. Micro-Doppler effect in radar: phenomenon, model, and simulation Study [J]. IEEE Transaction on Aerospace and Electronic Systems, 2006, 42(1): 2-21.
  • 2Cai Cheng-jie, Liu Wei-xian, Fu J S, and Lu Li-long. Empirical mode decomposition of micro-Doppler signature [C]. Proceedings of IEEE International Conference on Radar, Washington,USA, May 2005: 895-899.
  • 3Thayaparan T and Abrol S, et al.. Analysis of radar micro-Doppler signatures from experimental helicopter and human data [J]. IET Radar Sonar Navig, 2007, 1 (4): 289-299.
  • 4Li J and Ling H. Application of adaptive chirplet representation for ISAR feature extraction from targets with rotating parts [J]. IEE Proc-Radar Sonar Navig, 2003, 150(4): 284-291.
  • 5Lin Bin, Wan Jian-wei, and Yao Kang-ze, et al.. ISAR based micro-Doppler analysis and Chirplet parameter separation[C]. Synthetic Aperture Radar 2007, Huang Shan, China, APSAR 2007: 379-384.
  • 6Stankovic L S, Djurovic I, and Thayaparan T. Separation of target rigid body and micro-Doppler effects in ISAR imaging [J]. IEEE Transactions on Aerospace and Electronic Bystems, 2006, 42(4): 1496-1506.
  • 7Zhang Qun, Tat Soon Yeo, and Hwee Siang Tan, et al. Imageing of a moving target with rotating parts based on the hough transform [J]. IEEE Transactions on Geoscience and Remote Sensing, 2008, 46(1): 291-299.
  • 8邢孟道,保铮,冯大政.基于瞬时幅度和调频率估计的机动目标成像方法[J].西安电子科技大学学报,2001,28(1):22-26. 被引量:8
  • 9王勇,姜义成.一种自适应Chirplet分解的快速算法[J].电子学报,2007,35(4):701-704. 被引量:2

二级参考文献14

  • 1舒畅,宋叔飚,李中群,裴承鸣,谭申刚.基于先验估计的自适应Chirplet信号展开[J].电子与信息学报,2005,27(1):21-25. 被引量:2
  • 2殷勤业,倪志芳,钱世锷,陈大庞.自适应旋转投影分解法[J].电子学报,1997,25(4):52-58. 被引量:40
  • 3Mihovilovic D,Bracewell R N.Adaptive Chirplet representation of signal on time-frequency plane[J].Electronics Letters,1991,27(13):1159-1161.
  • 4Mann S,Haykin S.The Chirplet transform:physical considerations[J].IEEE Trans on SP,1995,43(11):2745-2761.
  • 5Qian S,et al.Signal representation using adaptive normalized Gaussian functions[J].Signal Processing,1994,36(1):1-11.
  • 6Mallat S,et al.Matching pursuit with time-frequency dictionaries[J].IEEE Trans on SP,1993,41(12):3397-3415.
  • 7Bultan A.A four-parameter atomic decomposition of Chirplets[J].IEEE Trans on SP,1999,47(3):731-745.
  • 8Qinye Yin,Shie Qian,Aigang Feng.A fast refinement for adaptive Gaussian Chirplet decomposition[J].IEEE Trans on SP,2002,50(6):1298-1306.
  • 9M Z Ikram,K Abed-Meraim,Y Hua.Fast quadratic phase transform for estimating the parameters of multicomponent chirp signals[J].Digital Signal Process,1997,7(2):127 -135.
  • 10O'shea Peter.A fast algorithm for estimating the parameters of a quadratic FM signal[J].IEEE Trans on SP,2004,52(2):385-393.

共引文献8

同被引文献87

引证文献10

二级引证文献21

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