摘要
多普勒波束锐化(Doppler beam sharpening,DBS)技术可以快速地对广阔地面场景进行成像,但存在成像分辨率不高的问题。简单介绍了DBS的成像原理,建立了方位向超分辨的信号模型,并在此基础上提出一种新的超分辨广域成像算法。该算法将脉压后的回波信号建模为一系列不同多普勒频率散射点的叠加,利用幅度相位估计(amplitude and phase estimation,APES)方法对脉压后的数据进行多普勒分析,进行方位向的成像。仿真结果与实测数据表明,所提算法可以获得清晰的广域超分辨图像。
Doppler beam sharpening（DBS）technology can be used to acquire a wide-area surveillance scene, yet the resolution is not high.A basic principle of DBS imaging is introduced,and a super-resolution model in the azimuth direction is constructed and a novel wide area super resolution imaging algorithm is proposed.The echo data can be expressed as the sum of a set of different scattering centers with different Doppler frequencies in frequency domain,and the amplitude and phase estimation（APES）method is applied to perform the Doppler analysis.Simulation results and measured data show that the proposed algorithm can obtain a clear super-reso-lution wide-area DBS image.
出处
《系统工程与电子技术》
EI
CSCD
北大核心
2015年第1期6-11,共6页
Systems Engineering and Electronics
基金
国家自然科学基金(61271297
61272281
61301284)
高等学校博士学科点专项科研基金(20110203110001)资助课题
关键词
多普勒波束锐化
超分辨
幅度相位估计
Doppler beam sharpening（DBS）
super resolution
amplitude and phase estimation（APES）
