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IJMLC 2011 Vol.1(5): 498-503 ISSN: 2010-3700
DOI: 10.7763/IJMLC.2011.V1.74

SAR Image Formation Process and Non-stationary Errors Influence in Aircraft Motion

Su Su Yi Mon and Fang Jiancheng

Abstract—On account of large amount of signal processing required in SAR imagery, the early SAR designs implemented optical processing techniques. The ground speed is biased by the inertial navigation unit drifts and to which SAR processing is extremely sensitive. It can also be recovered from the GPS technique, but this requires a GPS receiver on the ground. Another complication is that the synthesis process is made non-stationary by the nonlinearities in the aircraft motion. This is motion compensation problem. Therefore, this paper provides a fine resolution SAR image platform and finished the relationship with SAR imagery errors between the stationary and non-stationary platform to continue future motion compensation process. A new Matlab based program for SAR image formation is also developed in this paper and a few visualization enhancement features facilitates processing data and producing desired output. The SAR properties in range and azimuth directions are also described. The received echo SAR signal is described. Moreover, the simulation results and comparison would show the way of making effects on SAR image resolution related to the motion compensation.

Index Terms—Synthetic Aperture Radar, Range Doppler, Motion Compensation, Image Resolution

Su Su Yi Mon is currently a Ph.D student in the school of Instrumentation Science and Opto-electronics Engineering, Beihang University, Beijing, China. (email: ssyimon@gmail.com).
Professor Fang Jiancheng is the Dean of the School of Instrumentation Science and Opto-electronics Engineering, Beihang University, Beijing, China.

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Cite: Su Su Yi Mon, and Fang Jiancheng, "SAR Image Formation Process and Non-stationary Errors Influence in Aircraft Motion," International Journal of Machine Learning and Computing vol. 1, no. 5, pp. 498-503, 2011.

General Information

  • E-ISSN: 2972-368X
  • Abbreviated Title: Int. J. Mach. Learn.
  • Frequency: Quaterly
  • DOI: 10.18178/IJML
  • Editor-in-Chief: Dr. Lin Huang
  • Executive Editor:  Ms. Cherry L. Chen
  • Abstracing/Indexing: Inspec (IET), Google Scholar, Crossref, ProQuest, Electronic Journals LibraryCNKI.
  • E-mail: ijml@ejournal.net


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