Calibration factor estimation based on statistical modeling of scattering coefficient

Zengguo Sun, Chongzhao Han, Ram M. Narayanan, Shigang Liu

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Scopus citations

Abstract

The calibration factors of synthetic aperture radar (SAR) images are generally obtained by estimation of radar system parameters based on internal calibration and external calibration. In this paper, we propose a simple but efficient method to estimate the calibration factors based on statistical modeling of scattering coefficient. Taking expectation and variance on the linear form of calibration equation, we derive the analytical expressions of such estimator. Modeling the scattering coefficient as Rayleigh, heavy-tailed Rayleigh, log-normal, and Weibull distributions, respectively, we obtain the calibration factor estimators for two kinds of radar receivers: the linear receiver and the square-law receiver. Lastly, Monte Carlo simulation results are provided to demonstrate the efficiency of the proposed calibration factor estimator.

Original languageEnglish (US)
Title of host publication2009 12th International Conference on Information Fusion, FUSION 2009
Pages2006-2011
Number of pages6
StatePublished - Nov 18 2009
Event2009 12th International Conference on Information Fusion, FUSION 2009 - Seattle, WA, United States
Duration: Jul 6 2009Jul 9 2009

Publication series

Name2009 12th International Conference on Information Fusion, FUSION 2009

Other

Other2009 12th International Conference on Information Fusion, FUSION 2009
CountryUnited States
CitySeattle, WA
Period7/6/097/9/09

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All Science Journal Classification (ASJC) codes

  • Computational Theory and Mathematics
  • Computer Networks and Communications
  • Information Systems
  • Software

Cite this

Sun, Z., Han, C., Narayanan, R. M., & Liu, S. (2009). Calibration factor estimation based on statistical modeling of scattering coefficient. In 2009 12th International Conference on Information Fusion, FUSION 2009 (pp. 2006-2011). [5203691] (2009 12th International Conference on Information Fusion, FUSION 2009).