Sidelobe reduction based on spectrum reshaping in microwave imaging

• Published in: Science China. Information sciences Vol. 54; no. 1; pp. 204 - 212
• Main Authors: Wang, HuaiJun, Su, Yi, Xu, HongBo, Zhu, YuTao
• Format: Journal Article
• Language: English
• Published: Heidelberg SP Science China Press 2011; Springer Nature B.V
• Subjects: Computer Science; Fourier analysis; Image enhancement; Image quality; Image reconstruction; Image resolution; Imaging; Imaging techniques; Information Systems and Communication Service; Inverse synthetic aperture radar; Microwaves; Point spread functions; Research Papers; Sidelobe reduction; Sidelobes; Spectra; Synthetic aperture radar; 图像质量; 微波成像; 成像分辨率; 成像系统; 旁瓣电平; 点扩散函数; 逆合成孔径雷达; 频谱整形; spatial spectrum; Fourier imaging; sidelobe reduction; microwave imaging; point spread function
• ISSN: 1674-733X; 1869-1919
• DOI: 10.1007/s11432-010-4136-0

Sidelobe artifacts are a common problem in image reconstruction from finite-extent Fourier data obtained by microwave imaging system. In order to enhance the image quality, sidelobe reduction must be implemented. Taking the sidelobe reduction in microwave imaging as the research subject, this paper presents Fourier imaging technique firstly. Then the point spread function is obtained through Fourier inversion of rectangular spectral support data and the changing effect of sidelobe direction due to reshaping spectral support is demonstrated. Spectrum reshaping makes that the sidelobes of two Fourier images do not overlap. Based on the idea of separating sidelobes from mainlobe, a nolve method that reduces sidelobe levels while maintaining the imaging resolution is proposed. The performance of this method is analyzed. Finally, the simulated and measured data of typical microwave imaging systems such as synthetic aperture radar {SAR）, inverse synthetic aperture radar （ISAR） and real aperture radar are used to demonstrate the validity of the proposed method.