A ScanSAR Roll Angle Iterative Estimation Algorithm Based on Least Square Method

Li Xing; Hong Jun

doi:10.3724/SP.J.1146.2007.00239

Volume 30 Issue 9

Jan. 2011

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Li Xing, Hong Jun. A ScanSAR Roll Angle Iterative Estimation Algorithm Based on Least Square Method[J]. Journal of Electronics & Information Technology, 2008, 30(9): 2099-2102. doi: 10.3724/SP.J.1146.2007.00239

Citation:

Li Xing, Hong Jun. A ScanSAR Roll Angle Iterative Estimation Algorithm Based on Least Square Method[J]. Journal of Electronics & Information Technology, 2008, 30(9): 2099-2102. doi: 10.3724/SP.J.1146.2007.00239

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A ScanSAR Roll Angle Iterative Estimation Algorithm Based on Least Square Method

doi: 10.3724/SP.J.1146.2007.00239

Li Xing^{①② 洪峻
,},
Hong Jun

Received Date: 2007-02-06
Rev Recd Date: 2007-07-06
Publish Date: 2008-09-19

Abstract

Abstract

This paper works on a critical issue of roll angle estimation in ScanSAR radiometric calibration. After a deep analysis of the relative discrepancies between constituent beams, an improved algorithm is proposed, whose estimation model takes into account both the relative gain discrepancy and the relative beam angular placement between constituent beams. By linearizing the estimation model, an iterative solution of the roll angle can be achieved by means of least square method. Through simulation the estimation accuracy of the proposed algorithm is evaluated under different SNR levels and compared with Dragosevics algorithm. The superiority of the proposed algorithm is proved with the results.
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References(1)

References

[1] Cumming I G and Bast D C. A new hybrid-beam datacollection strategy to support ScanSAR radiometriccalibration [J].IEEE Trans. on Geoscience and RemoteSensing.2004, 42(1):3-13 [2] Hawkins R K, Wolfe J, Murnaghan K, and Jefferies W C.Exploring the elevation beam overlap region inRADARSAT-1 ScanSAR [C]. Proc. CEOS WGCV-SARWorkshop, Tokyo, Japan, Apr.2-5, 2001, NASDA/ESA. [3] Luscombe A P. Using the overlap regions to improveScanSAR calibration. Proc. CEOS SAR CalibrationWorkshop, Noordwijk, The Netherlands, 1993, 9: 118-123. [4] Zink M and Rosich B. Antenna elevation pattern estimationfrom rain forest acquisitions. Proceedings, EnvisatCalibration Review, ESTEC, 2002, 9: 9-13. [5] Bamler R. Roll angle estimation in SIR-C ScanSARprocessing. Jet Propulsion Lab., Pasadena, CA, JPLInteroffice Memo 3340-94-030, 1994. [6] Jin M. Optimal range and doppler centroid estimation for aScanSAR system [J].IEEE Trans. on Geoscience andRemote Sensing.1996, 34(3):479-488 [7] Dragosevic M V. Roll angle measurement and compensationstrategy for RADARSAT ScanSAR. Proc. CEOS SARWorkshop, Toulouse, France, 1999, 10: 26-29. [8] Franceschetti G and Migliaccio M. SARAS: A SyntheticAperture Radar (SAR) raw signal simulator [J].IEEETrans. on Geoscience and Remote Sensing.1992, 30(1):110-123

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