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ACTA AERONAUTICAET ASTRONAUTICA SINICA ›› 2015, Vol. 36 ›› Issue (5): 1585-1595.doi: 10.7527/S1000-6893.2014.0315

• Electronics and Control • Previous Articles     Next Articles

Multichannel SAR-GMTI based on clutter cancellation and autofocus

WEI Beiyu, ZHU Daiyin, WU Di   

  1. Key Laboratory of Radar Imaging and Microwave Photonics, Ministry of Education, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China
  • Received:2014-06-24 Revised:2014-11-17 Online:2015-05-15 Published:2014-12-04
  • Supported by:

    National Natural Science Foundation of China (61301212); National Defense Basic Research Program (B2520110008); Funding of Jiangsu Innovation Program for Graduate Education (KYLX_0274); China Postdoctoral Science Foundation (2012M511750); Aeronautical Science Foundation of China (20132052030); NUAA Fundamental Research Funds (NS2013023); Priority Academic Program Development of Jiangsu Higher Education Institutions

Abstract:

The signal process technique of ultra-high frequency (UHF) band multichannel synthetic aperture radar (SAR) moving target detection is studied. The problem of moving target blurring caused by long coherence time in azimuth is solved. The sub-block image autofocus technique is proposed to process the clutter suppressed image of the multichannel SAR ground moving target indication (GMTI) system. The depth of the moving target focusing is increased after autofocus. The contrast between the moving target and the surrounding clutter is increased. The detecting performance of the constant false alarm ratio (CFAR) detector is improved. Compared with traditional method which is implemented by directly using CFAR detector after the clutter suppression, the detecting false alarm probability of the proposed method is lower. Processing results of the real collection data show that the signal to clutter ratio of the moving target increases significantly. Moving targets are well focused in azimuth after the processing of autofocus. The effectiveness and feasibility of the method are demonstrated by the processing results of the real collection data.

Key words: synthetic aperture radar, autofocus, ground moving target indication, constant false alarm rate detection, clutter suppression

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