Abstract
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.
This is a preview of subscription content, log in via an institution to check access.
Similar content being viewed by others
References
Tsao J, Steinberg B D. Reduction of sidelobe and speckle artifacts in microwave imaging: the CLEAN technique. IEEE Trans Anten Propag, 1988, 36: 543–556
DeGraaf S R. Sidelobe reduction via adaptive fir filtering in SAR imagery. IEEE Trans Image Process, 1994, 3: 292–301
Stankwitz H C, Dallaire R J, Fienup J R. Non-linear apodization for sidelobe control in sar imagery. IEEE Trans Aerospace Electr Syst, 1995, 31: 267–278
Thomas G, Gadhok N. Sidelobe apodization in Fourier imaging. In: Proceedings of the Thirty-Fifth Asilomar Conference on Signals, Systems and Computers, Pacific Grove, CA, 2001. 1369–1373
DeGraaf S R. SAR imaging via modern 2-D spectral estimation methods. IEEE Trans Image Process, 1998, 7: 729–761
Gilmore C, Jeffrey I, LoVetri J. Derivation and comparison of SAR and frequency-wavenumber migration within a common inverse scalar wave problem formulation. IEEE Trans Geosci Remote Sens, 2006, 44: 1454–1461
Bao Z, Xing M D, Wang T. Radar Imaging Techniques (in Chinese). Beijing: Publishing House of Electronics Industry, 2005
Curlander J C, Mcdonough R N. Synthetic Aperture Radar: Systems and Signal Processing (in Chinese). Beijing: Publishing House of Electronics Industry, 2006
Halcrow G, Mulgrew B. 3D SAR scene reconstruction using fourier imaging techniques. In: Proceedings of the Institution of Engineering and Technology Seminar on High Resolution Imaging and Target Classification, London, 2006. 53–60
Wang L, Huang X T, Zhou Z M, et al. Control sidelobes in UWB SAR images. In: Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, Seoul, 2005. 4630–4632
Goodman R, Tummala S, Carrara W. Issues in ultra-wideband, widebeam SAR image formation. In: Proceedings of the IEEE International Radar Conference, Alexandria, VA, 1995. 479–485
Cumming I G, Wong F H. Digital Processing of Synthetic Aperture Radar Data: Algorithms and Implementation (in Chinese). Beijing: Publishing House of Electronics Industry, 2007
Ge D B. Electromagnetic Inverse Scattering Principles (in Chinese). Xi’an: Publishing House of Northwest Telecommunication Engineering Institute, 1987
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
About this article
Cite this article
Wang, H., Su, Y., Xu, H. et al. Sidelobe reduction based on spectrum reshaping in microwave imaging. Sci. China Inf. Sci. 54, 204–212 (2011). https://doi.org/10.1007/s11432-010-4136-0
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s11432-010-4136-0