Near-Field Single-Frequency Millimeter-Wave 3-D Imaging via Multifocus Image Fusion

• Published in: IEEE antennas and wireless propagation letters Vol. 20; no. 3; pp. 298 - 302
• Main Authors: Jing, Handan, Li, Shiyong, Cui, Xiaoxi, Zhao, Guoqiang, Sun, Houjun
• Format: Journal Article
• Language: English
• Published: New York IEEE 01.03.2021; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Computer vision; Depth of field; Entropy; Focusing; Image fusion; Image processing; Image reconstruction; Imaging; Millimeter waves; Millimeter-wave (MMW) imaging; minimum entropy; multifocus image fusion; Near fields; Radar equipment; Radar imaging; single-frequency; Systems design; Target recognition; Wideband
• ISSN: 1536-1225; 1548-5757
• DOI: 10.1109/LAWP.2020.3048478

The wideband radar system is usually exploited to obtain the 3-D image of the target under test. However, the wide bandwidth increases the system complexity and cost. Emerging techniques, such as the reconfigurable reflectarrays, reconstruct a near 3-D image via using single-frequency millimeter-wave (MMW) and near-field focusing of the beam, which greatly simplifies the system design, whereas the near-field focusing can only achieve a poor range resolution and a limited depth of focus. In this letter, we propose a multifocus image fusion method based on the criterion of minimum entropy, which can further be utilized for any kind of the MMW imaging system working at a single frequency. Simulations and experiments are presented to verify the effectiveness of the proposed method.