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Volume 41 Issue 3
Mar.  2015
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Journal of Beijing University of Aeronautics and Astronautics  > 2015  >  41(3): 492-501.
YE Xiaoming, ZHANG Guofeng, HU Xiaoguang, et al. Improved back-projection imaging algorithm for approximate forward looking missile-borne SAR[J]. Journal of Beijing University of Aeronautics and Astronautics, 2015, 41(3): 492-501. doi: 10.13700/j.bh.1001-5965.2014.0223(in Chinese)
Citation: YE Xiaoming, ZHANG Guofeng, HU Xiaoguang, et al. Improved back-projection imaging algorithm for approximate forward looking missile-borne SAR[J]. Journal of Beijing University of Aeronautics and Astronautics, 2015, 41(3): 492-501. doi: 10.13700/j.bh.1001-5965.2014.0223(in Chinese)
shu

Improved back-projection imaging algorithm for approximate forward looking missile-borne SAR

doi: 10.13700/j.bh.1001-5965.2014.0223
  • 1.

    State Key Laboratory of Virtual Reality Technology and Systems, Beijing University of Aeronautics and Astronautics, Beijing 100191, China

  • 2. The State Grid Liaoning Power Co. Ltd., Shenyang 110006, China

  • 3. The Maintenance Branch of State Grid Liaoning Power Co. Ltd., Shenyang 110003, China

  • Received Date: 23 Apr 2014
  • Publish Date: 20 Mar 2015
    Abstract
  • In order to solve the problems that the existing high squint missile-borne synthetic aperture radar (SAR) algorithm can not deal with too high squint angle, and that the calculated amount of traditional back-projection (BP) imaging algorithm is too large, as well as that the current fast BP algorithm can not process the echo data in parallel, an improved approximate forward looking missile-borne SAR back-projection imaging algorithm which can process echo data in parallel was proposed. According to geometrical relationship of approximate forward looking missile-borne SAR, an echo signal model was established. And the imaging area was divided to equidistance strip in range along the distance direction. The image was split when merging sub aperture, and the splitting and merging did not stop until the accuracy of image met the requirements. Next the raw echo data was back projected to each strip for coherent integration, and then the missile-borne SAR image was obtained. If these strips were processed for imaging in parallel, the imaging speed would be further improved. Finally, results of simulation echo data and real echo data validate that the improved algorithm can deal with approximate forward looking scene with 86° squint angle, and it can greatly improve the computation speed compared with that of traditional BP algorithm. Moreover, the computation speed is faster than that of other improved BP algorithms by processing those strips in parallel.

     

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