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Volume 38 Issue 12
Jan.  2017
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Han Minghua, Yuan Naichang. A IMPROVED TRACKING KALMAN FILTER USING MULTILAYER NEURAL NETWORK[J]. Journal of Electronics & Information Technology, 1998, 20(6): 739-744.
Citation: LIU Wenkang, SUN Guangcai, CHEN Jianlai, XING Mengdao. Method for GEO Spaceborne-airborne BiSAR Resolution Analysis and Imaging Parameters Optimal Design[J]. Journal of Electronics & Information Technology, 2016, 38(12): 3152-3158. doi: 10.11999/JEIT160656

Method for GEO Spaceborne-airborne BiSAR Resolution Analysis and Imaging Parameters Optimal Design

doi: 10.11999/JEIT160656
Funds:

The National Natural Science Foundation of China (61301292), AeroSpace T.T. C. Innovation Program (201509A)

  • Received Date: 2016-06-21
  • Rev Recd Date: 2016-11-14
  • Publish Date: 2016-12-19
  • The GEO SAR has its own features such as wide coverage and short revisit time. However, when the GEO SAR is both used as a transmitter and a receiver, its advantages is not well exploited. If an airplane or a LEO satellite is adopted as a platform of the receiver, not only the interesting regions can be observed flexibly, but also finer resolution can be achieved. However, the geometry of the BiSAR is complicated, so it is not easy to acquire how much resolution an arbitrary BiSAR system can reach. Thus starting with the resolution on the basic plane of a BiSAR system, and combined with the resolutions projection relation between the basic plane and the plane tangent to the earths surface, the resolution shapes expression on the ground can be got finally. Based on the expression, the resolution of a BiSAR system can be assessed, and finer resolution can be realized through optimizing two parameters, including signal bandwidth and synthetic aperture time. Finally, the simulation results validate the effectiveness of the proposed method.
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