基于ALPFT参数估计的运动目标高分辨率成像
High resolution imaging of moving targets based on ALPFT parameter estimation
贺靖 1谭鸽伟1
作者信息
- 1. 华侨大学 信息科学与工程学院,厦门 361021
- 折叠
摘要
针对调频连续波合成孔径雷达(FMCW SAR)对地面恒加速运动目标的运动参数估计及高分辨率成像问题展开研究.首先,建立FMCW SAR系统下的运动目标回波模型,提出自适应局部多项式傅里叶变换(ALPFT)对高达四阶的多普勒相位进行估计.其次,通过广义Keystone变换和Hough变换对距离徙动项进行校正,同时完成运动目标的速度信息估计.最后,通过补偿高阶多普勒相位以及方位重采样操作,实现对非中心目标的剩余空变相位的补偿,使场景中所有运动目标聚焦效果良好.仿真结果验证了所提方法的可行性和有效性.
Abstract
In this paper,the problem of parameter estimation and imaging of ground moving targets with constant ac-celeration for Frequency Modulated Continuous Wave Synthetic Aperture Radar(FMCW SAR)is studied.Firstly,the echo model of moving targets in the FMCW SAR system is established,and the Adaptive Local Polynomial Fourier Transform(ALPFT)is proposed to estimate the Doppler phase of echoes up to the fourth order.Secondly,the range migration terms are corrected by generalized Keystone transform and Hough transform,and the velocity information of moving targets is estimated at the same time.Finally,by compensating for the high-order Doppler phases and per-forming the azimuth resampling of non-central moving targets,all moving objects in the scene can be focused well.Simulation results verify the feasibility and effectiveness of the proposed method.
关键词
调频连续波合成孔径雷达/恒加速运动目标参数估计/自适应局部多项式傅里叶变换/广义Keystone变换/Hough变换/方位重采样Key words
Frequency Modulated Continuous Wave Synthetic Aperture Radar(FMCW SAR)/parameter estimation of moving targets with constant acceleration/Adaptive Local Polynomial Fourier Transform(ALPFT)/generalized Keystone transform/Hough transform/azimuth resampling引用本文复制引用
出版年
2025
国家科技期刊平台
NSTL
万方数据