An Adaptive CLEAN Algorithm for Millimeter Wave Synthetic Aperture Imaging Radiometer in Near-field
High-resolution millimeter wave images of contiguous targets often suffer from the influence of sidelobe artifacts, partial correlation between targets and so on.Owing to the characteristics of near-field synthetic aperture imaging radiometers (such as the changing PSF and slender sideline), the existing CLEAN algorithms are unsuitable for the near-field synthetic aperture imaging.This paper is devoted to establishing a novel CLEAN algorithm (named Adaptive CLEAN) to clean the reconstructed millimeter wave images accurately.Firstly, the characteristics of near-field synthetic aperture imaging are studied.Then, the Adaptive CLEAN is established based on these characteristics.In this method, we amend the amplitude of the targets and select the matching point spreading function for them according to their azimuth.Unlike other CLEAN algorithms, the parameters of this Adaptive CLEAN are calculated by the formula, which is concluded from a lot of simulation experiments.Finally,the effectiveness of the proposed Adaptive CLEAN algorithm has been tested by means of several simulation experiments, and the superiority is also demonstrated by the comparison between it and the existing CLEAN.The results demonstrate that the proposed method is an efficient, feasible CLEAN algorithm for cleaning the reconstructed images, no matter for the point or contiguous targets.
CLEAN algorithm synthetic aperture imaging,radiometers millimeter wave
Jianfei Chena Yuehua Lia Jianqiao Wanga Yilong Zhanga
School of Electronic Engineering and Optoelectronic Technology, Nanjing University of Science and Technology, Nanjing, 210094, China
国际会议
昆明
英文
426-437
2014-05-01（万方平台首次上网日期，不代表论文的发表时间）