摘要
毫米波全息成像采用远场成像的近似模型,导致最终成像质量下降。针对上述问题,提出了一种基于距离补偿的毫米波近场成像算法。该算法用近场条件下的精确模型改进了传统成像算法的近似模型,利用成像平面与天线阵元的距离进行成像补偿,然后通过最大值投影和Lee滤波进行成像。实验结果表明,与毫米波全息成像算法相比,该算法在提高图像清晰度的同时,能够保留成像目标的更多信息。
Millimeter wave holographic imaging adopts the approximate model of far-field imaging,which leads to the degradation of final imaging quality.To solve the above problems,a millimeter wave near-field imaging algorithm based on distance compensation is proposed.In this algorithm,the approximate model of traditional imaging algorithm is improved by using the accurate model in near-field condition.The distance between the imaging plane and the antenna array is used for imaging compensation,and then the maximum projection and Lee filtering are used for imaging.The experimental results show that compared with the MMW holographic imaging algorithm,the proposed algorithm can not only improve the image clarity,but also retain more information of the imaging target.
作者
蔡俊
杨翠翠
卓智海
CAI Jun;YANG Cui-cui;ZHUO Zhi-hai(School of Telecommunications Engineering,Beijing Information Science and Technology University,Beijing 100101,China)
出处
《微波学报》
CSCD
北大核心
2021年第1期55-59,63,共6页
Journal of Microwaves
关键词
毫米波成像
近场成像模型
最大值投影
Lee滤波
millimeter wave imaging
near-field imaging model
maximum projection
Lee filtering
