基于TRIAA与压缩感知的ISAR去微多普勒方法  

Reducing Micro-Doppler Effect in ISAR Imaging Based on TRIAA and Compres-sive Sensing

作　　者：张荣政 王勇[1] ZHANG Rongzheng;WANG Yong(Institute of Electronic Engineering Technology,Harbin Institute of Technology,Harbin 150001,China)

机构地区：[1]哈尔滨工业大学电子工程技术研究所,哈尔滨150001

出　　处：《数据采集与处理》2022年第6期1218-1227,共10页Journal of Data Acquisition and Processing

基　　金：国家自然科学基金(61871146);中央高校基本科研业务费(FRFCU5710093720);平湖实验室开放基金。

摘　　要：随着现代雷达的信号质量和分辨率的提升,雷达系统能捕捉到目标的更多细节。逆合成孔径雷达(Inverse synthesis aperture radar,ISAR)成像的目标上可能存在相对整体高速旋转的部件,例如飞机的螺旋桨叶片。这些高速旋转部件形成的微多普勒效应会对成像结果造成严重干扰。因此,本文提出了一种基于时间递归迭代自适应方法(Time recursive iterative adaptive approach,TRIAA)和压缩感知的ISAR微多普勒效应消除方法。该方法利用TRIAA技术分析信号的时频特征,从时频图上去除微多普勒效应,又利用压缩感知稀疏重构技术还原了有效信号。仿真和实测数据的实验结果验证了本文方法的有效性。With the improvement of modern radar signal quality and resolution,radar systems can capture more detail on targets.Objects imaged by inverse synthetic aperture radar(ISAR)may have components that rotate at high speeds relative to the whole,such as propeller blades of aircraft.The micro-Doppler effects created by these components may seriously interfere with the imaging results.Therefore,this paper proposes a method to eliminate the micro-Doppler effect in ISAR based on the time recursive iterative adaptive(TRIAA)and compressive sensing.The method uses TRIAA technology to analyze the time-frequency characteristics of signals,removes the micro-Doppler effect from the time-frequency map,and uses the compressive sensing sparse reconstruction technology to accurately restore the effective signal.Experimental results of simulation and measured data verify the effectiveness of the proposed method.

关 键 词：时间递归迭代自适应方法 压缩感知 时频特征 微多普勒效应 逆合成孔径雷达 

分 类 号：TN957.51[电子电信—信号与信息处理]