YU Wenxian. Automatic target recognition from an engineering perspective[J]. Journal of Radars, 2022, 11(5): 737–752. doi: 10.12000/JR22178
Citation: Luo Xiu-lian, Xu Wei, Guo Lei. The Application of PRF Variation to Squint Spotlight SAR[J]. Journal of Radars, 2015, 4(1): 70-77. doi: 10.12000/JR14149

The Application of PRF Variation to Squint Spotlight SAR

DOI: 10.12000/JR14149
  • Received Date: 2014-12-05
  • Rev Recd Date: 2015-03-19
  • Publish Date: 2015-02-28
  • This paper focuses on a novel squint spotlight SAR mode, where the PRI variation is employed to increase the range swath width, especially for high-resolution imaging. The spotlight SAR is developed to increase the azimuth resolution via steering the antenna beam to always illuminate the same area on the ground during the whole data acquisition interval. However, requirement of high resolution and large squint angle leads to large Range Cell Migration (RCM). Therefore, to ensure the scattered echoes along the azimuth to be completely received within the fixed reception window, the range swath has to be much narrower than the reception window. In order to increase the range swath, we can change the PRI along the azimuth to shift the reception window according to the variation of instantaneous slant range. This paper first derives the PRI variation scheme. Afterward, a modified time-domain Back-Projection Algorithm (BPA) is presented to implement the focusing. Finally, simulation results are given to validate the presented SAR mode and corresponding imaging processor.

     

  • [1]
    Cumming I G and Wong F H. Digital Processing of Synthetic Aperture Radar Data: Algorithms and Implementation[M]. Norwood, MA, USA: Artech House, 2005.
    [2]
    Carrara W G, Goodman R S, and Majewski R M. Spotlight Synthetic Aperture RadarSignal Processing and Algorithms[M]. Boston, MA, USA: Artech House, 1995.
    [3]
    Lanari R, Tesauro M, Sansosti E, et al.. Spotlight SAR data focusing based on a two-step processing approach[J]. IEEE Transactions on Geoscience and Remote Sensing, 2001, 39(9): 1993-2004.
    [4]
    Xu W, Deng Y, Huang P, et al.. Full-aperture SAR data focusing in the spaceborne squinted sliding-spotlight mode[J]. IEEE Transactions on Geoscience and Remote Sensing, 2014, 52(8): 4596-4607.
    [5]
    Naftaly U and Nathansohn R L. Overview of the TECSAR satellite hardware and Mosaic mode[J]. IEEE Geoscience and Remote Sensing Letters, 2008, 5(3): 423-426.
    [6]
    Zhang Y, Yu Z, and Li C. Effects of PRF variation on spaceborne SAR imaging[C]. IEEE International Geoscience and Remote Sensing Symposium, Melbourne, VIC, Australia, 2013: 1336-1339.
    [7]
    Gebert N and Krieger G. Ultra-wide swath SAR imaging with continuous PRF variation[C]. EUSAR, Aachen, Germany, 2010: 966-969.
    [8]
    Villano M, Krieger G, and Moreira A. Staggered SAR: highresolution wide-swath imaging by continuous PRI variation[J]. IEEE Transactions on Geoscience and Remote Sensing, 2014, 52(7): 4462-4479.
    [9]
    Luo X, Wang R, Xu W, et al.. Modification of multichannel reconstruction algorithm on the SAR with linear variation of PRI[J]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2014, 7(7): 3050-3059.
    [10]
    Yen J L. On nonuniform sampling of bandwidth-limited signals[J]. IRE Transactions on Circuit Theory, 1956, 3(4): 251-257.
    [11]
    Munson D C Jr., OBrien J D, and Jenkins W K. A tomographic formulation of spotlight-mode synthetic aperture radar[J]. Proceedings of the IEEE, 1983, 71(8): 917-925.
    [12]
    Soumerk M. Synthetic Aperture Radar Signal Processing with Matlab Algorithms[M]. New York, MA, USA: A Wiley- Interscience Publication, 1999.
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