电子学报2016，Vol.44Issue(3)：505-513,9.DOI:10.3969/j.issn.0372-2112.2016.03.002
基于短时迭代自适应-逆 Radon 变换的微多普勒提取方法
Micro-Doppler Extraction Based on Short-time Iterative Adaptive Approach and Inverse Radon Transform
摘要
Abstract
For multicomponent signals overlapping seriously and neighboring,the widely-used algorithms like the short-time Fourier transform ( STFT) and S-Method( SM) are poor in frequency resolution and low in reconstruction accuracy.To solve this problem,a method based on short-time iterative adaptive approach and inverse Radon transform ( STIAA-IRT) to extract the micro-Doppler signatures is proposed combining with the inverse Radon transform (IRT).Analysis of the micro-Doppler characteristics for a point scatterer model with the employment of the STIAA time-frequency transform based on weighted iterative adaptation is made,and then the IRT is utilized to separate and reconstruct different micro-Doppler compo-nents with the result that the complete micro-Doppler features of all useful signals are obtained successfully under low SNR and time-frequency distribution in high resolution.Finally,analysis of the performance illustrates that STIAA-IRT has a higher reconstruction accuracy along with an obvious advantage over the signature extracting algorithms of STFT-IRT and SM-IRT.关键词
弹道目标/微多普勒/迭代自适应(IAA)/逆Radon变换(IRT)Key words
ballistic targets/micro-Doppler/iterative adaptive approach(IAA)/inverse Radon transform(IRT)分类
信息技术与安全科学引用本文复制引用
赵彤璐,廖桂生,杨志伟..基于短时迭代自适应-逆 Radon 变换的微多普勒提取方法[J].电子学报,2016,44(3):505-513,9.基金项目
国家自然科学基金（No．61231017，No．60901066）；中央高校基本科研业务费专项资金 （）
