ISAR Imaging via Sparse Probing Frequencies

@article{Wang2011ISARIV,
  title={ISAR Imaging via Sparse Probing Frequencies},
  author={Hongxian Wang and Yinghui Quan and Meng-dao Xing and Shouhong Zhang},
  journal={IEEE Geoscience and Remote Sensing Letters},
  year={2011},
  volume={8},
  pages={451-455}
}
Based on compressive sampling theory, a novel method for high-resolution inverse synthetic aperture radar (ISAR) imaging is presented in this letter by transmitting sparse probing frequencies. In this method, only a few measurements in the range frequency and cross-range time domains are needed to reconstruct the target scene by solving an inverse problem through either a linear program or a greedy pursuit. By transmitting merely a few probe frequencies instead of wideband signals, the proposed… CONTINUE READING
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Showing 1-10 of 16 references

CVX: Matlab Software for Disciplined Convex Programming

  • M. Grant, S. Boyd, Y. Ye
  • Jun. 4
  • 2009
1 Excerpt

Compressed sensing radar High - resolution radar via compressed sensing

  • M. Xing L. Zhang, C. Qiu, J. Li, Z. Bao
  • IEEE Trans . Signal Process .
  • 2009

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