期刊文献+

一种基于随机共振的PD雷达小目标检测方法 被引量:1

A Method for PD Radar Dim Target Detection Based on Stochastic Resonance Principle
下载PDF
导出
摘要 当导弹处于低空尾追攻击时,实现强副瓣杂波中弱小雷达目标检测给弹载雷达信号处理提出了一定挑战。为改善信杂比、提高检测性能,引入近年发展起来的随机共振技术。文中在介绍随机共振原理并分析脉冲多普勒雷达回波频谱特性的基础上,提出了基于随机共振原理的脉冲多普勒雷达弱小目标检测方法,并给出了检测算法流程,进而在理论上分析了该算法的检测性能。仿真实验表明,该算法有效提高了信杂比,对于脉冲多普勒体制下的弱小目标信号检测有显著效果。 Dim signal detection is chanllenging due to the fact that the signal is submerged by the powerful sidelobe clutter, while the pulse Dopple (PD) radar is following the target. Stochastic resonance principle is made good use of to improve the signal noise ratio and the detection performance. Firstly, the basic principle of stochastic resonance is introduced, and the frequency spectrum characteristic of the return signals is analyzed while the radar is after the target. Then a novel approach based upon stochastic reso- nance principle for detecting a single dim signal of pulse Doppler radar is proposed, and the procedure is given in the paper. The performance of signal noise ratio improvement is thus analyzed theoretically. Finally, the simulation results show that the proposed algorithm possesses a high gain for siganl noise ratio, which is very attractive for dim sigal detection of pulse Doppler radar.
出处 《现代雷达》 CSCD 北大核心 2011年第3期34-38,共5页 Modern Radar
基金 国防科技重点实验室基金资助项目
关键词 脉冲多普勒雷达 目标检测 随机共振 弱小信号 PD radar target detection stochastic resonance dim signal
  • 相关文献

参考文献7

二级参考文献26

  • 1王立冬,胡卫东,郁文贤.联合时频技术用于ISAR像综述[J].系统工程与电子技术,2005,27(12):2025-2029. 被引量:4
  • 2费智婷,丁东涛,付毓生,皮亦鸣.基于SVA算法和时频分析的ISAR成像[J].现代雷达,2007,29(2):52-55. 被引量:2
  • 3Xiang-Gen Xia, GenYuan Wang. Quantitative SNR analysis for ISAR imaging using joint time - frequency analysis-short time fourier transform [ J ]. IEEE Trans. AES. , 2002, 38 (2) :649 -659. 被引量:1
  • 4Papandreou-Suppappola A, Suppappola S B. Sonar echo ranging using signals with nolinear time-frequency characteristics [ J ]. IEEE Signal Processing Letters, 2004,11 ( 3 ) : 393 - 396. 被引量:1
  • 5Stankovic S, Djurovic I. Motion parameter estimation by using time frequency representations [ J ]. IEE Electronics Lettets, 2001,37(24) :1446 - 1448. 被引量:1
  • 6Cohen L. Time-frequency distribution-A Review [ J ]. Proceeding of IEEE, 1989,77(7) :941 -981. 被引量:1
  • 7Chandra S Sekhar, Sreenivas T V. Effect of interpolation on PWVD computation and instantaneous frequency estimation [ J]. Signal Processing ,2004,84 : 107 - 116. 被引量:1
  • 8Stankovic S, Igor Djurovic, Radomir-Mato Lakovic. Instantaneous frequency estimation by using the wigner distribution and linear interpolation [ J ]. Signal Processing, 2003,83 : 483 - 491. 被引量:1
  • 9Stankovic L J, Alieva T, Bastiaans M J. Time-frequency signal analysis based on the windowed fractional fourier trans-form[ J]. Signal Processing,2003, 83:2459 - 2468. 被引量:1
  • 10Stankovic L. A method for time-frequency analysis [ J ]. IEEE Transactions on Signal Processing, 1994,42 ( 1 ) : 225 - 229. 被引量:1

共引文献54

同被引文献6

引证文献1

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