Volume 8 Issue 4
Aug.  2019
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Article Navigation >  Journal of Radars  > 2019  >  8(4): 527-536
CHEN Shiyang, HUANG Lijia, and YU Lei. A novel sinc interpolation for continuous PRF sampled sequences reconstruction in spotlight SAR[J]. Journal of Radars, 2019, 8(4): 527–536. doi: 10.12000/JR18095
Citation: CHEN Shiyang, HUANG Lijia, and YU Lei. A novel sinc interpolation for continuous PRF sampled sequences reconstruction in spotlight SAR[J]. Journal of Radars, 2019, 8(4): 527–536. doi: 10.12000/JR18095
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A Novel sinc Interpolation for Continuous PRF Sampled Sequences Reconstruction in Spotlight SAR

DOI: 10.12000/JR18095
  • ①.

    Institute of Electronics, Chinese Academy of Sciences, Beijing 100190, China

  • ②.

    Key Laboratory of Technology in Geo-Spatial Information Processing and Application System, Institute of Electronics, Chinese Academy of Sciences, Beijing 100190, China

  • ③.

    School of Electronic, Electrical and Communication Engineering, University of Chinese Academy of Sciences, Beijing 100049, China

  • ④.

    School of Electronics and Information Engineering, Beihang University, Beijing 100191, China

Funds:  The National Science Foundation of China (61331017)
More Information
  • Corresponding author: HUANG Lijia, iecas8huanglijia@163.com
  • Received Date: 2018-11-14
  • Rev Recd Date: 2019-02-22
  • Publish Date: 2019-08-28
    Abstract
  • This paper focuses on an improved imaging-algorithm for the spotlight Synthetic Aperture Radar (spotlight SAR) with continuous Pulse Repetition Frequency (PRF) variation in extremely high-resolution imaging-process. PRI variation is conventionally employed to resolve the problem of fixed blind ranges as well as the conflict of high-resolution and wide-swath; however, there are problems such as spectrum aliasing and ambiguous targets caused by nonuniform sampling. In this study, a novel sinc interpolation method is proposed to reconstruct a uniformly sampled signal from non-uniform Fourier Transform samples. Then a two-step processing approach combined with the novel sinc interpolation method is presented in the process of non-uniformly sampled echo imaging. The simulation proves the validity and accuracy of the proposed imaging algorithm. In addition, the computational cost of the novel sinc interpolation is further reduced compared to that of non-uniform Fourier transformation.

     

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