Adaptive CLEAN algorithm for millimetre wave synthetic aperture imaging radiometer in near field

• DOI: 10.1049/iet-ipr.2014.0443
• Publication Date: 2014-10-24T16:29:22Z
• Authors: Jianfei Chen; Yuehua Li; Jianqiao Wang; Yuanjiang Li; Yilong Zhang
• Keywords: Millimetre wave; Aperture (computer memory)

High‐resolution millimetre wave images of contiguous targets often suffer from the influence sidelobe artefacts, partial correlation between and so on. Owing to characteristics near‐field synthetic aperture imaging radiometers [such as changing point spread function (PSF) slender sideline], existing CLEAN algorithms are unsuitable for imaging. This study is devoted establishing a novel algorithm (named adaptive CLEAN) clean reconstructed accurately. First, studied. Then, established based on these characteristics. In this study, authors amend amplitude select matching PSF them according their azimuths. Unlike other algorithms, parameters calculated by formula, which concluded lot simulation experiments. Finally, effectiveness proposed tested several experiments, superiority also demonstrated comparing it with algorithm. The results demonstrate that method an efficient, feasible cleaning images, irrespective or targets.