摘要
极化信息的有效利用可提高目标特征提取和识别的精度.针对微动目标的微多普勒提取问题,在介绍传统微多普勒提取算法的基础上,建立了微动目标的全极化回波模型,提出了一种基于全极化信息的微多普勒提取算法.该方法以时频图像的对比度作为目标函数,通过寻找一组最优极化矢量提高时频图像质量.仿真数据实验表明,本文方法比传统时频变换方法得到的时频图像的对比度更高.真实数据实验发现,本文方法得到的图像对比度高达2.56,而传统时频变换方法得到的图像对比度在0.88到1.66之间.实验结果证明了本文方法的有效性和相比传统方法的优势.
The effective use of polarization information can improve the precision of target feature extraction and recognition. Aiming at the problem of extracting the micro-Doppler frequency of micro-motion targets,after introducing the traditional micro-Doppler extraction method,the full-polarization echo model of micro-motion targets is built,and then a full polarization-based micro-Doppler extraction algorithm is proposed. Such algorithm takes the time-frequency image contrast as the objective function and improves the time-frequency image quality by seeking for the optimal polarization vectors. The simulation results showthat the proposed method can obtain a higher image contrast than the traditional time-frequency method. Furthermore,the real data demonstrates that the image contrast obtained by the proposed method is 2. 56,compared with 0. 88 to 1. 66 of the traditional method. All the experimental results confirm the effectiveness of the proposed method and its advantages over the traditional method.
出处
《电子学报》
EI
CAS
CSCD
北大核心
2017年第9期2071-2076,共6页
Acta Electronica Sinica
基金
国家重点基础研究发展规划(973计划)前期研究专项(No.2011CB311802)
河南省科技发展计划科技攻关项目(No.122400450356)
关键词
微多普勒
全极化
图像对比度
最优极化
micro-Doppler
full polarization
image contrast
optimal polarization
