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LFM信号调频斜率的双正交Fourier变换分析算法

王本庆 李兴国

王本庆, 李兴国. LFM信号调频斜率的双正交Fourier变换分析算法[J]. 电子与信息学报, 2009, 31(7): 1620-1623. doi: 10.3724/SP.J.1146.2008.00870
引用本文: 王本庆, 李兴国. LFM信号调频斜率的双正交Fourier变换分析算法[J]. 电子与信息学报, 2009, 31(7): 1620-1623. doi: 10.3724/SP.J.1146.2008.00870
Wang Ben-qing, Li Xing-guo. Analysis Algorithm to Frequency Rate of LFM Signal Based on Biorthogonal Fourier Transform[J]. Journal of Electronics & Information Technology, 2009, 31(7): 1620-1623. doi: 10.3724/SP.J.1146.2008.00870
Citation: Wang Ben-qing, Li Xing-guo. Analysis Algorithm to Frequency Rate of LFM Signal Based on Biorthogonal Fourier Transform[J]. Journal of Electronics & Information Technology, 2009, 31(7): 1620-1623. doi: 10.3724/SP.J.1146.2008.00870

LFM信号调频斜率的双正交Fourier变换分析算法

doi: 10.3724/SP.J.1146.2008.00870

Analysis Algorithm to Frequency Rate of LFM Signal Based on Biorthogonal Fourier Transform

  • 摘要: 现有很多LFM信号调频斜率的分析算法,但这些算法存在诸多不足,如计算复杂、搜索时间长,对多LFM信号有交叉项等。该文提出了基于双正交Fourier变换的新LFM信号调频斜率分析算法,其特点是信号在双正交基下展开,通过变换得到信号调频斜率密度谱。该算法不需要搜索,且特别适合对不同调频斜率组成的多LFM信号进行调频斜率分析。文中推导了连续双正交Fourier变换公式和离散变换公式,并讨论了算法的一些主要性质。
  • 李利, 司锡才, 柴娟芳, 张雯雯. 一种改进的小波域LFM 雷达信号参数估计算法. 海军工程大学学报, 2008, 20(1): 84-88.Li Li, Si Xi-cai, Chai Juan-fang, and Zhang Wen-wen.Improved algorithm for estimating parameters of LFM radarsignals based on wavelet. Journal of Naval University ofEngineering, 2008, 20(1): 84-88.[2]郑生华, 徐大专. 基于小波脊线-Hough 变换的LFM 信号检测.量子电子学报, 2008, 25(2): 145-160.Zhang Sheng-hua and Xu Da-zhuan. Detection of LFMsignals based on wavelet ridge extracting and Houghtransform. Chinese Journal of Quantum Electronics, 2008,25(2): 145-160.[3]彭巧乐, 司锡才, 杜亚琦. 基于瞬时互相关和STFT 的LFM信号测向算法. 哈尔滨工程大学学报, 2008, 29(2): 179-182.Peng Qiao-le, Si Xi-cai, and Du Ya-qi. A direction-findingmethod for LFM signals based on instantaneous crosscorrelation and STFT. Journal of Harbin EngineeringUniversity, 2008, 29(2): 179-182.[4]Qi Lin, Tao Ran, Zhou Si-yong, and Wang Yue. Detectionand parameter estimation of multicomponent LFM signalbased on the fractional Fourier transform[J].Science in ChinaSeries F: Information Sciences.2004, 47(2):184-198[5]Qi Lin, Tao Ran, and Wang Yue. Adaptive time-varying filterfor linear FM signal in fractional Fourier domain. IEEEProceedings of the 6th International Conference on SignalProcessing, Beijing, China, August 26-30, 2002, 2: 1425-1428.[6]祝俊, 陈兵, 唐斌. 快速多分量LFM 信号的检测与参数估计方法. 电子测量与仪器学报, 2008, 22(11): 25-29.Zhu Jun, Chen Bing, and Tang Bin. Fast detection andparameter estimation method for Multi-component LFMsignal. Journal of Electronic Measurement and Instrument,2008, 22(11): 25-29.[7]张淑宁, 赵惠昌, 涂友超. 基于FRFT 的伪码引信自适应LFM 干扰对消方法[J].电子与信息学报.2008, 30(5):1084-1087浏览[8]Wood J C and Barry D T. Linear signal synthesis using theRadon-Wigner transform[J].IEEE Transactions on SignalProcessing.1994, 42(8):2105-2111[9]Yury Grishin and Wojciech Niczyporuk. LFM radar signaldetection in the joint time-frequency domain. SPIEProceedings of Photonics Applications in Astronomy,Communications, Industry and High-energy PhysicsExperiments, Wilga, Poland, May 21-27, 2007, 6937, 69373M:1-7.[10]吴涛, 袁嗣杰, 陈进军, 李伟. 一种新的LFM 信号检测算法仿真分析. 系统仿真学报, 2008, 20(9): 2395-2397, 2428.Wu Tao, Yuan Si-jie, Chen Jin-jun, and Li Wei. Simulationanalysis of new algorithm for LFM signal detection. Journalof System Simulation, 2008, 20(9): 2395-2397, 2428.[11]Li Ying-xiang, Yi Min, and Xiao Xian-ci. Recursive filteringRadon-Ambiguity transform algorithm for multi-LFM signalsdetection. IEEE Proceedings of International Conference onCommunications, Circuits and Systems and West SinoExpositions. Beijing, China, June 29-July 1, 2002, 2:1050-1053.[12]贾舒宜, 王国宏, 杜文超. 在单脉冲内基于Radon-Ambiguity变换的加速度估计方法研究. 宇航学报, 2008, 29(3): 989-994.Jia Shu-yi, Wang Guo-hong, and Du Wen-chao. Accelerationestimation based on Radon-Ambiguity transformation in onepulse. Journal of Astronautics, 2008, 29(3): 989-994.[13]Barbarossa S. Analysis of multicomponent LFM signals by acombined Wigner-Hough transform[J].IEEE Transactions onSignal Processing.1995, 43(6):1511-1515[14]He You, Su Feng, and Qu Chang-wen. A novel multiple LFMsignals detection method. IEEE Proceedings of the 4thInternational Conference on Microwave and Millimeter WaveTechnology, Beijing, China, August 18-21, 2004: 818-821.[15]Chen En-qing and Tao Ran. A novel method to detect andseparate LFM signal based on artificial neural network. IEEEProceeding of International Conference on Neural Networksand Brain. Beijing, China, October 13-15, 2005, 1: 32-35.[16]Wang Ling-huan, Ma Hong-guang, Zhang Jia-wen, and AiMing-shun. A method to detect multi-components linear FMsignal. IEEE Proceeding of the 8th International Conferenceon Signal Processing. Guilin, China, November 16-20, 2006, 4:1-5.
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出版历程
  • 收稿日期:  2008-07-08
  • 修回日期:  2009-03-04
  • 刊出日期:  2009-07-19

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