摘要
毫米波近场全息成像中通常忽略幅度因子影响成像质量,且成像效率较低。针对以上问题,提出一种基于幅度补偿的近场成像算法。该算法首先对雷达回波信号进行幅度补偿,然后采用降维操作降低算法复杂度。实验结果表明,相对于全息成像,所提近场成像算法不仅可以提高图像重构质量,还能加快成像处理速度。
In millimeter-wave near-field holographic imaging,the influence of amplitude factor on imaging quality is usually neglected,and the imaging efficiency is low.To solve above problems,a near-field imaging algorithm based on amplitude compensation is proposed.The algorithm first compensates the amplitude of the radar echo signal,and then uses the dimension reduction operation to reduce the complexity of the algorithm.The experimental results show that compared with holographic imaging,the proposed near-field imaging algorithm can not only improve the quality of image reconstruction,but also accelerate the imaging processing speed.
作者
杨翠翠
宋家平
卓智海
YANG Cuicui;SONG Jiaping;ZHUO Zhihai(School of Information and Communication Engineering,Beijing Information Science and Technology University,Beijing 100101,China;China State Shipbuilding Corporation Systems Engineering Research Institute,Beijing 100036,China)
出处
《电讯技术》
北大核心
2023年第11期1824-1829,共6页
Telecommunication Engineering
基金
北京市自然科学基金轨道交通联合基金重点研究专题(L191004)。
关键词
毫米波雷达
近场成像
全息成像
幅度补偿
降维
millimeter-wave radar
near-field imaging
holographic imaging
amplitude compensation
dimension reduction
