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access icon openaccess Imaging algorithm for multi-channel scan synthetic aperture radar with channel error estimation and compensation

This is an open access article published by the IET under the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0/)
Received 20/02/2019, Accepted 20/05/2019, Published 10/07/2019

The wide swath synthetic aperture radar (SAR) imaging with a fine resolution is fundamentally a contradiction in conventional SAR imaging. To meet the demand of high-resolution width swath (HRWS) imaging, multi-channel scan mode has received a great deal of attention as a promising concept to realise HRWS observation. In this article, based on extended Chirp Scaling algorithm, an imaging algorithm for multi-channel scan SAR is proposed. Furthermore, channel error estimation and compensation are the key point in multi-channel scan imaging and are integrated into the proposed imaging algorithm. The computer simulation is shown to verify the presented imaging algorithm.

Inspec keywords: image resolution; synthetic aperture radar; radar imaging; geophysical image processing

Other keywords: high-resolution width swath imaging; HRWS observation; conventional SAR imaging; wide swath synthetic aperture radar; multichannel scan SAR; imaging algorithm; extended Chirp Scaling algorithm; multichannel scan mode; multichannel scan imaging; fine resolution; channel error estimation; multichannel scan synthetic aperture radar

Subjects: Instrumentation and techniques for geophysical, hydrospheric and lower atmosphere research; Data and information; acquisition, processing, storage and dissemination in geophysics; Optical, image and video signal processing; Geophysical techniques and equipment; Computer vision and image processing techniques; Radar equipment, systems and applications

References

    1. 1)
      • 4. Krieger, G., Gebert, N., Moreira, A.: ‘Unambiguous SAR signal reconstruction from nonuniform displaced phase center sampling’, IEEE Geosci. Remote Sens. Lett., 2004, 1, (2), pp. 260–264.
    2. 2)
      • 12. Yang, T.L., Li, Z.F., Liu, Y.Y., et al: ‘Channel error estimation methods for multi-channel SAR systems in azimuth’, IEEE Geosci. Remote Sens. Lett., 2013, 10, (3), pp. 548–552.
    3. 3)
      • 10. Zhang, S.X., Liao, Y., Sun, G.C., et al: ‘A range-variant channel-calibration algorithm for the multi-channel in azimuth HRWS SAR imaging’. Proc. Int. IET Int. Radar Conf., Xi'an, China, April 2013, pp. 1–4.
    4. 4)
      • 6. Kim, J., Younis, M., Prats-Iraola, P., et al: ‘First spaceborne demonstration of digital beamforming for azimuth ambiguity suppression’, IEEE Trans. Geosci. Remote Sens., 2012, 1, (4), pp. 579–590.
    5. 5)
      • 3. Gebert, N., Kreiger, G., Moreira, A.: ‘Digital beamforming on recieve: techniques and optimization strategies for high-resolution wide-swath SAR imaging’, IEEE Trans. Aerosp. Electron. Syst., 2009, 45, (2), pp. 564–592.
    6. 6)
      • 5. Liu, B.C., He, Y.: ‘Improved DBF algorithm for multichannel high-resolution wide-swath SAR’, IEEE Trans. Geosci. Remote Sens., 2016, 54, (2), pp. 1209–1225.
    7. 7)
      • 8. Moreira, A., Mittermayer, J., Scheiber, R.: ‘Extended chirp scaling algorithm for air- and spaceborne SAR data processing in stripmap and Scan SAR imaging modes’, IEEE Trans. Geosci. Remote Sens., 1996, 34, (5), pp. 1123–1136.
    8. 8)
      • 7. Gebert, N., Krieger, G., Moreira, A.: ‘Multichannel azimuth processing in Scan SAR and TOPS mode operation’, IEEE Trans. Geosci. Remote Sens, 2010, 48, (7), pp. 2994–3008.
    9. 9)
      • 11. Li, Z.F., Wang, H.Y., Bao, Z., et al: ‘Performance improvement for constellation SAR using signal processing techniques’, IEEE Trans. Aerosp. Electron. Syst., 2006, 42, (2), pp. 436–452.
    10. 10)
      • 9. Liu, Y.Y.: ‘Key techniques of signal processing for high-resolutionand wide-swath distributed satellite SAR/InSAR’. PhD thesis, Xidian University, 2013.
    11. 11)
      • 1. Kiyo, T.: ‘Tutorial review of synthetic aperture radar (SAR) with applications to imaging of the ocean surface’, Proc. IEEE, 1978, 66, (5), pp. 563–583.
    12. 12)
      • 2. Freeman, A., Johnson, W.T.K., Huneycutt, B., et al: ‘The ‘myth’ of the minimum SAR antenna area constraint’, IEEE Trans. Geosci. Remote Sens., 2000, 38, (1), pp. 320–324.
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