摘要
针对毫米波系统在二维横断面成像时,空间频率间隔上非均匀性影响成像精确度问题,提出基于截断正弦基数(sinc)函数的插值优化算法。算法取sinc函数为卷积核,对数据进行插值,相较细胞元插值法,得到的散射插值幅值更接近实际值,成像精确度更高。在此基础上,由于sinc插值需要无穷项求和,所需计算的数据量巨大,因此对插值求和项进行截断处理,对不同截断点数所成横断面像作比较,进一步优化成像质量。仿真结果验证了算法的可行性和精确性。
Aiming at solving the problem that the non-uniformity of spatial frequency affects the accuracy in the process of two-dimensional cross-section imaging,an interpolation optimization algorithm based on truncated sine cardinal(sinc)function is proposed.The algorithm takes the sinc function as the convolution kernel to interpolate the data.Compared with the cell element interpolation method,the obtained scattering interpolation amplitude is closer to the actual value,and the imaging accuracy is higher.On this basis,sinc interpolation requires infinite summation and the amount of data to be calculated is huge,therefore,the interpolation summation should be truncated.The cross-sectional images formed by different truncation points are compared and processed by windowing to further optimize image quality.The simulation results verify the feasibility and accuracy of the optimization algorithm.
作者
邵文浩
朱莉
刘婕
邹丽蓉
SHAO Wenhao;ZHU Li;LIU Jie;ZOU Lirong(School of Electronic and Optical Engineering,Nanjing University of Science&Technology,Nanjing Jiangsu 210094,China)
出处
《太赫兹科学与电子信息学报》
北大核心
2020年第6期1035-1039,共5页
Journal of Terahertz Science and Electronic Information Technology
关键词
毫米波
全息成像
二维横断面像
sinc插值
millimeter wave
holographic imaging
two-dimensional cross-sectional image
sinc interpolation
