摘要
研究推导了安检系统近场信号传播方程,并引入了一维近场响应矩阵,在此基础上,提出了结合LMS(Least Mean Square,LMS)自适应波束形成的非均匀快速傅里叶变换(Non-uniform Fast Fourier Transform,NUFFT)二维近场成像算法。先对多阵元接收信号进行自适应波束形成处理,再通过NUFFT重构目标图像。对文中算法与传统的波束形成NUFFT二维成像算法进行了模拟仿真比较分析,仿真结果表明,提出的算法具有更好的噪声抑制效果,提高了毫米波近场成像的质量。
The accuracy of security check imaging has become a research hotspot in recent years.Millimeter wave imaging was used in security inspections due to its dual advantages of high penetration and safety. Near-field signal propagation equations and one-dimensional near-field response matrices in security systems were obtained. Under this condition,an algorithm combining NUFFT(Nonuniform Fast Fourier Transform)and LMS(Least Mean Square)adaptive beamforming was proposed. In this algorithm,the adaptive beamforming process was performed on the multi-element received signal,and the target image was reconstructed by NUFFT. The simulation comparison analysis was performed between the proposed algorithm and the traditional beamforming NUFFT two-dimensional imaging algorithm. The results shows that the method proposed has better suppression effect on noise,which could lead to the improvement of the quality of millimeter wave near-field imaging.
作者
尚秋峰
郑国强
李炎
SHANG Qiufeng;ZHENG Guoqiang;LI Yan(School of Electrical and Electronic Engineering,North China Electric Power University,Baoding Hebei 071003,CHN)
出处
《光电子技术》
CAS
北大核心
2020年第2期94-99,共6页
Optoelectronic Technology
基金
国家自然科学基金(61775057)
河北省自然科学基金(E2019502179)。
