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Volume 39 Issue 2
Feb.  2017
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LI Kun, LIANG Xingdong, CHEN Longyong, WANG Jie, WU Yirong. Signal Model and High-resolution Imaging Approach for Distributed SAR Based on LFMCW Signals[J]. Journal of Electronics & Information Technology, 2017, 39(2): 437-443. doi: 10.11999/JEIT160274
Citation: LI Kun, LIANG Xingdong, CHEN Longyong, WANG Jie, WU Yirong. Signal Model and High-resolution Imaging Approach for Distributed SAR Based on LFMCW Signals[J]. Journal of Electronics & Information Technology, 2017, 39(2): 437-443. doi: 10.11999/JEIT160274

Signal Model and High-resolution Imaging Approach for Distributed SAR Based on LFMCW Signals

doi: 10.11999/JEIT160274
Funds:

The National High Technology Research and Development Program of China (2013AA122201), The Innovative Foundation for the Chinese Academy of Sciences (CXJJ-16M217)

  • Received Date: 2016-03-21
  • Rev Recd Date: 2016-10-12
  • Publish Date: 2017-02-19
  • Distributed micro-satellites SAR has the capabilities of substantially miniaturizing the size and lowering the cost of space-borne SAR systems. However, one of the key issues is to take full advantage of the distributed resources and achieve high-resolution images. In this paper, an approach utilizing LFMCW signal is proposed to realize distributed micro-satellites SAR system. The signal model and the high-resolution imaging method is studied on the basis of the serial formation in azimuth. LFMCW signals are transmitted simultaneously and beat-frequency division signals are received by different micro-satellites. With the use of the crossed receiving technique, different sub-band signals with superposed equivalent phase centers can be acquired by the configuration design of formation flying, and then the full-bandwidth signal is synthesized to obtain high-resolution image. The proposed method synthesizes the sub-band signals of distributed platforms, which provides theoretical support for applying high-resolution LFMCW signals in the field of distributed micro-satellites SAR. The correctness of the theoretical derivations and the effectiveness of the approach is validated by simulation results.
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