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Volume 39 Issue 7
Jul.  2017
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Article Contents
JIANG Huai, ZHAO Huichang, HAN Min, ZHANG Shuning. A Squint TOPSAR Imaging Algorithm Based on Extend Azimuth Non-linear Chirp Scaling[J]. Journal of Electronics & Information Technology, 2017, 39(7): 1606-1611. doi: 10.11999/JEIT160933
Citation: JIANG Huai, ZHAO Huichang, HAN Min, ZHANG Shuning. A Squint TOPSAR Imaging Algorithm Based on Extend Azimuth Non-linear Chirp Scaling[J]. Journal of Electronics & Information Technology, 2017, 39(7): 1606-1611. doi: 10.11999/JEIT160933

A Squint TOPSAR Imaging Algorithm Based on Extend Azimuth Non-linear Chirp Scaling

doi: 10.11999/JEIT160933
Funds:

The National Natural Science Foundation of China (61301216)

  • Received Date: 2016-09-19
  • Rev Recd Date: 2016-11-10
  • Publish Date: 2017-07-19
  • In the squint Terrain Observation by Progressive scabs (TOPSAR) mode, the different azimuth scatters have different Doppler center frequencies, which causes azimuth under-sampling problem and increase the coupling between range and azimuth. Considering at the characteristics of squint TOPSAR echo, this article proposes a new full aperture imaging algorithm: first, the azimuth signal aliasing is removed by introducing the nonlinear walk correction; second, the nonlinear chirp scaling algorithm for azimuth focusing is applied to compensating the Doppler modulation rate; finally, the image geometric distortion is eliminated by 2-D chirp scaling operation. Compared with the traditional algorithm, the proposed algorithm avoids the interpolation under the case of extending a small amount of data, hence the calculation needed is less. The simulation results prove the effectiveness of the algorithm.
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