期刊文献+

基于PFA算法的动目标特性分析

The Characteristic Analysis of Moving Target Based on PFA Algorithm
下载PDF
导出
摘要 对发射的线性调频信号做解调和匹配滤波处理得到原始回波信号,应用极坐标格式算法(Polar Format Algorithm,PFA)推算静止目标和运动目标处理后回波信号的数学关系式,推演动目标经过PFA处理后的理论成像结果图特征。首先对回波数据进行参考距离补偿,利用尺度变换原理,得到距离向插值处理后运动目标关于静止目标的距离徙动(Range Cell Migration,RCM)函数,推算理论上的成像结果;再通过方位向高精度的Sinc插值方法处理,完成整个PFA处理的推导。重点研究动目标和静止目标PFA处理后信号回波在方位和距离向的函数特性,以此推测出运动目标经过PFA处理后理论上的成像结果图特性,再通过MATLAB仿真来验证理论推导的正确性。 The original echo signal is obtained by demodulation and matching filtering of the transmitted Linear Frequency Modulation signal,and the mathematical relation of the echo signal after processing of stationary target and moving target is calculated by Polar Format Algorithm(PFA),and the theoretical image characteristics of the moving target after processing of PFA are deduced.Firstly,the reference distance compensation is carried out for the echo signal,and then the Range Cell Migration(RCM)function of moving target and stationary target is obtained by using the principle of scale transformation,and the theoretical imaging results are calculated.Then the whole PFA process is completed by the high precision Sinc interpolation method.This paper focuses on the function characteristics of signal echo in azimuth and distance direction after PFA processing of moving target and stationary target,so as to infer the theoretical imaging result graph characteristics of moving target after PFA processing,and verify the correctness of theoretical through MATLAB simulation.
作者 贺雪莉 HE Xueli(School of Information Technology,Minzu Normal University of Xingyi,Xingyi,Guizhou 562400)
出处 《兴义民族师范学院学报》 2022年第2期119-124,共6页 Journal of Minzu Normal University of Xingyi
基金 兴义民族师范学院基金项目“数字滤波器算法研究及其FPGA实现”(项目编号:21XYYB12)。
关键词 匹配滤波 极坐标格式算法(PFA) 距离徙动(RCM) Sinc插值 运动目标 Matched filtering Polar format algorithm(PFA) Range Cell Migration(RCM) Sinc interpolation Moving target
  • 相关文献

参考文献2

二级参考文献13

  • 1Ausherman D A,Kozma A,Walker J L.Developments in radar imaging[J].IEEE Transactions on Aerospace and Electronic Systems,1984,20(4):363-400.
  • 2Carrara W G,Goodman R S,Majewski R M.Spotlight synthetic aperture radar:signal processing algorithms[M].London:Artech House,1995.
  • 3Jakowatz C V,Wahl D E,Eichel P H,et al.Spotlight-mode synthetic aperture radar:a signal processing approach[M].Norwell:Kluwer Academic Pubishiers,1996.
  • 4Cumming I,Wong F.Digital processing of synthetic aperture radar data-algorithms and implementation[M].London:Artech House,2005.
  • 5Raney R.K.Synthetic aperture radar imaging radar and moving targets[J].IEEE Transactions on Aerospace and Electronic Systems,1971,7(3):499-505.
  • 6Freeman A.Synthetic aperture radar (SAR) images of moving targets[J].GEC Journal of Research,1987,5(2):106-115.
  • 7Chen V C,Lipps R,Bottoms M.Advanced synthetic aperture radar imaging and fearture analysis[C] //Proceedings of 2003 Radar Conference.Huntsville,Ala,USA:IEEE AESS,2003:22-29.
  • 8Perry R P,Dipietro R C,Fante R L.SAR imaging of moving targets[J].IEEE Transactions on Aerospace and Electronic Systems,1999,35(1):188-200.
  • 9Jao J K.Theory of synthetic aperture radar imaging of a moving target[J].IEEE Transactions on Geoscience and Remote Sensing,2001,39(9):1984-1992.
  • 10Yegulalp A F.Analysis of SAR image formation equations for stationary and moving targets[R].Tech Rep FPR-14,Lexington,MA:MIT Lincoln Laboratory,2002.

共引文献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