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Volume 29 Issue 7
Jan.  2011
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He Yun-tao, Jiang Yue-song, Zhong Yu. An Application of the CLEAN Algorithm in Airborne mm-wave Synthetic Aperture Imaging[J]. Journal of Electronics & Information Technology, 2007, 29(7): 1757-1760. doi: 10.3724/SP.J.1146.2005.01615
Citation: He Yun-tao, Jiang Yue-song, Zhong Yu. An Application of the CLEAN Algorithm in Airborne mm-wave Synthetic Aperture Imaging[J]. Journal of Electronics & Information Technology, 2007, 29(7): 1757-1760. doi: 10.3724/SP.J.1146.2005.01615

An Application of the CLEAN Algorithm in Airborne mm-wave Synthetic Aperture Imaging

doi: 10.3724/SP.J.1146.2005.01615
  • Received Date: 2005-12-13
  • Rev Recd Date: 2006-08-16
  • Publish Date: 2007-07-19
  • The CLEAN algorithm is introduced from non-instant u-v coverage aperture synthesis in radio astronomy to instant situation in 2-D airborne mm-wave imaging, to remove the bad influences of the undersampled u-v plane coverage to image quality so as to eliminate the negative impacts on the image caused by high side slobs. In this paper, the effects of the kind of clean impulse, the relevant FWHM and the scale coefficient to the quality of the modified image is mainly studied, and a conclusion is that: a Gauss clean impulse, a relevant FWHM equal to the FWHM of system response and the scale coefficient about 1/256 is favorable to improve the modified image. This conclusion is valuable to the real airborne mm-wave aperture synthesis imaging project.
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  • Peichl M, Greiner M, and Suess H. DLR activities on aperture synthesis radiometry. IEEE IGARSS, Hawaii, US, July 2000, 7: 2981-2983.[2]Harvey A R and Appleby R. Prospects for mm-wave aperture synthesis from space-borne and aerial platforms. Proc. SPIE, 2000, 4091: 27-38.[3]Tsao J and Steinberg B D. Reduction of sidelobe and speckle artifacts in microwave imaging: The CLEAN technique[J].IEEE Trans. on Antennas and Propagation.1988, 36(4):543-556[4]Hogbom J A. Aperture synthesis with a non-regular distribution of interferometer baselines. Astron. Astrophys, 1974, 15 (2): 417-426.[5]Schwarz U J. Mathematical - statistical description of the iterative beam removing technique (method CLEAN). Astron. Astrophys, 1978, 65(2): 345-356.[6]Chick K M and Warman K. Using the CLEAN algorithm to restore undersampled synthetic aperture sonar images. MTS/IEEE Conference and Exhibition, 2001, 1(5-8): 170-178.[7]Hai D. Effective CLEAN algorithms for performance-enhanced detection of binary coding radar signals[J].IEEE Trans. on Signal Processing.2004, 52(1):72-78[8]Alam M and McClellan J H. Near field imaging of subsurface targets using wide-band multi-static RELAX/CLEAN algorithm. IEEE ICASSP, Philadelphia, US, 2005, IV: 1097-1100.[9]Ruf C S, Swift C T, and Tanner A B, et al.. Interferometric synthetic aperture microwave radiometry for the remote sensing of the earth. IEEE Trans. on GRS, 1988, 26(5): 597-611.[10]Peichl M, Suess H, and Suess M. Microwave imaging of the brightness temperature distribution of extended areas in the near and far field using two-dimensional aperture synthesis with high spatial resolution[J].Radio Science.1998, 33(3):781-801[11]陈海亭,江月松,钟宇. 二维圆周光综合孔径阵的优化排列及其成像特性研究. 光学学报,2005, 25(12): 1616-1623.Chen Hai-ting, Jiang Yue-song, and Zhong Yu. Study of optimization and imaging characteristics of two-dimensional circle array for optical synthetic aperture system. Acta Optica Sinica, 2005, 25(12): 1616-1623.[12]Cornwell T J. A novel principle for optimization of the instantaneous Fourier plane coverage of correlation arrays[J].IEEE Trans. on Antennas and Propagation.1988, 36(8):1165-1167
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