Abstract
Based on the theory of compressive sensing, in this chapter a novel high-resolution and wide-swath Scan SAR imaging algorithm is proposed. The proposed algorithm consists in range compression by the traditional matching filter method, range cell migration correction and the cross range compression by compressive sensing technique. The comparison between the traditional range-Doppler algorithm and the proposed method shows that the proposed method is suitable for high resolution wide swath imaging based on Scan SAR.
This work is supported by the Fundamental Research Funds for the Central Universities under Projects ZYGX2011J020. And it is partly supported by the education department of Hunan Province project 11C0985.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Currie A, Brown MA (1992) Wide-swath SAR. IEE Proc Inst Elect Eng F 139(2):122–135
Callaghan GD, Longstaff ID (1999) Wide swath spaceborne SAR using a quad element array. IEE Proc Radar Sonar Navig 146(3):159–165
Nicolas G, Gebert N, Moreim A (2010) Multichannel azimuth processing in ScanSAR and TOPS mode operation. IEEE Trans Geosci Rem Sens 48(7):2994–3008
Xu W, Huang PP, Deng YK (2011) Multi-channel SPCMB-TOPS SAR for high-resolution wide-swath imaging. Prog Electromagn Res 116:533–551
Candes E (2006) Compressive sampling. In: Proceedings of the international congress of mathematicians, vol 3, Madrid, pp 1422–1452
Candes E, Romberg J, Tao T (2006) Robust uncertainty principles: exact signal reconstruction from highly incomplete frequency information. IEEE Trans Inf Theory 6(2):227–254
Patel VM, Easley GR, Jr Healy DM, Chellapa R (2010) Compressed synthetic aperture radar. IEEE Sel Top Signal Process 4(2):244–254
Alonso T, Dekker L, Mallorqui J (2010) A novel strategy for radar imaging based on compressive sensing. IEEE Trans Geosci Rem Sens 48(12):4285–4295
Needell D (2009) Topics in compressed sensing. University of California, Davis, pp 53–59
Acknowledgments
This work is mainly supported by the Fundamental Research Funds for the Central Universities under Projects ZYGX2011J020. And it is partly supported by the education department of Hunan Province project 11C0985.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2012 Springer Science+Business Media New York
About this paper
Cite this paper
Zuo, W., Min, R., Li, J. (2012). A Novel High-Resolution Wide-Swath SAR Imaging Algorithm. In: Liang, Q., et al. Communications, Signal Processing, and Systems. Lecture Notes in Electrical Engineering, vol 202. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-5803-6_22
Download citation
DOI: https://doi.org/10.1007/978-1-4614-5803-6_22
Published:
Publisher Name: Springer, New York, NY
Print ISBN: 978-1-4614-5802-9
Online ISBN: 978-1-4614-5803-6
eBook Packages: EngineeringEngineering (R0)