SAR raw data simulation using high precision focusing methods

Efficient and accurate raw data simulation for synthetic aperture radar (SAR) is an important step for the study and simulation of different SAR image formation algorithms. This paper presents SAR raw data simulation using the chirp scaling and omega-k algorithms in reverse. We demonstrate the results using these techniques as well as make a comparison between them

[1]  R. Keith Raney,et al.  Precision SAR processing using chirp scaling , 1994, IEEE Trans. Geosci. Remote. Sens..

[2]  Riccardo Lanari,et al.  Synthetic Aperture Radar Processing , 1999 .

[3]  Hao Ling,et al.  Time-Frequency Transforms for Radar Imaging and Signal Analysis , 2002 .

[4]  Walter G. Carrara,et al.  Spotlight Synthetic Aperture Radar , 1995 .

[5]  Alberto Moreira,et al.  Wavenumber domain SAR focusing with integrated motion compensation , 2003, IGARSS 2003. 2003 IEEE International Geoscience and Remote Sensing Symposium. Proceedings (IEEE Cat. No.03CH37477).

[6]  R. Hansen.  Measurement distance effects on low sidelobe patterns , 1984 .

[7]  Giorgio Franceschetti,et al.  The SAR simulation: an overview , 1995, 1995 International Geoscience and Remote Sensing Symposium, IGARSS '95. Quantitative Remote Sensing for Science and Applications.

[8]  N. Hamano,et al.  Digital processing of synthetic aperture radar data , 1984 .

[9]  W. Carrara,et al.  Spotlight synthetic aperture radar : signal processing algorithms , 1995 .

[10]  Alberto Moreira,et al.  Extended chirp scaling algorithm for air- and spaceborne SAR data processing in stripmap and ScanSAR imaging modes , 1996, IEEE Trans. Geosci. Remote. Sens..

[11]  Mehrdad Soumekh,et al.  Synthetic Aperture Radar Signal Processing with MATLAB Algorithms , 1999 .

[12]  F. Rocca,et al.  SAR data focusing using seismic migration techniques , 1991 .

[13]  M. Soumekh.  Fourier Array Imaging , 1994 .