High-frequency Phase Error Reduction in Sar Using Particle Swarm of Optimization Algorithm

References

• Koo , V. C. , Lim , T. S. , Rao , M. C. and Chuah , H. T. 2004 . A GA-based autofocus technique for correcting high-frequency SAR phase error . Journal of Electromagnetic Waves and Applications , 18 ( No. 6 ) : 781 – 795 .
   Web of Science ®Google Scholar
• Soumekh , M. 1999 . Synthetic Aperture Radar Signal Processing , John Wiley & Sons, Inc .
   Google Scholar
• Harger , R. O. 1970 . Synthetic Aperture Radar Systems: Theory and Design , 129 – 155 . New York : Academic Press Inc . Chapter VI
   Google Scholar
• Carrara , W. G. , Goodman , R. S. and Majewski , R. M. 1995 . Spotlight Synthetic Aperture Radar: Signal Processing Algorithms , 203 – 243 . Artech House . Chapter 5
   Google Scholar
• Mancill , C. E. and Swiger , J. M. 1981 . “ A mapdrift autofocus technique for correcting higher order SAR phase errors ” . In 27th Annual Tri-Service Radar Symposium Record 391 – 400 . Monterey , CA
   Google Scholar
• Eichel , P. H. and Jakowatz , C. V. 1989 . Phase gradient algorithm as an optimal estimator of the phase derivative . Optics Letters , 14 ( No. 20 ) : 1101 – 1103 .
   PubMed Web of Science ®Google Scholar
• Wahl , D. E. , Eichel , P. H. , Ghiglia , D. C. and Jakowatz , C. V. 1994 . Phase gradient autofocus — A robust tool for high resolution SAR phase correction . IEEE Transactions on Aerospace and Electronic System , 30 ( No. 3 ) : 827 – 835 .
   Web of Science ®Google Scholar
• Naka , S. , Genji , T. , Yura , T. and Fukuyama , Y. 2003 . A hybrid particle swarm optimization for distribution state estimation . IEEE Trans. Power Syst. , 18 : 60 – 68 .
   Web of Science ®Google Scholar
• Gaing , Z. 2004 . A particle swarm optimization approach for optimumdesign of PID controller in AVR system . IEEE Trans. Energy Conv. , 19 : 384 – 391 .
   Web of Science ®Google Scholar
• Cui , S. and Weile , D. S. 2005 . Application of a parallel particle swarm optimization scheme to the design of electromagnetic absorbers . IEEE Trans. Antennas Propag. , 53 ( No. 11 ) : 384 – 391 .
   Web of Science ®Google Scholar
• Kennedy , J. and Eberhart , R. C. 1995 . Particle swarm optimization . Proc. IEEE International Conference on Neural Networks , 4 : 1942 – 1948 .
   Google Scholar
• Weile , D. S. and Michielssen , E. 1997 . Genetic algorithm optimization applied to electromagnetics: A review . IEEE Trans. Antennas Propag. , 45 : 343 – 353 .
   Web of Science ®Google Scholar
• Clerc , M. and Kennedy , J. 2002 . The particle swarm — explosion, stability, and convergence in a multidimensional complex space . IEEE Trans. Evol. Comput. , 6 ( No. 1 ) : 58 – 73 .
   Web of Science ®Google Scholar
• Fan , S.-K. S. , Liang , Y.-C. and Zahara , E. 2006 . “ A genetic algorithm and a particle swarm optimizer hybridized with Nelder-Mead simplex search ” . In Computers & Industrial Engineering , Vol. 50 , 401 – 425 . Elsevier Science .
   Google Scholar
• Eberhart , R. C. and Shi , Y. 2001 . “ Tracking and optimizing dynamic systems with particle swarms ” . In Proceedings of the 2001 Congress on Evolutionary Computation 94 – 97 . Seoul , , Korea
   Google Scholar
• Hu , X. and Eberhart , R. C. 2001 . Tracking dynamic systems with PSO: where's the cheese . Proceedings of the Workshop on Particle Swarm Optimization . 2001 , Indianapolis , USA.
   Google Scholar
• Pun , T. 1980 . A new method for gray-level picture thresholding using the entropy of the histogram . Signal Processing , 2 : 223 – 237 .
   Web of Science ®Google Scholar
• Koo , V. C. , Chan , Y. K. and Chuah , H. T. 2006 . Multiple phase difference method for real-time SAR autofocus . Journal of Electromagnetic Waves and Applications , 20 ( No. 3 ) : 375 – 388 .
   Web of Science ®Google Scholar
• Nelder , J. A. and Mead , R. 1965 . A simple method for function minimization . Computer J. , 7 : 308 – 313 .
   Web of Science ®Google Scholar
• Fletcher . 1980 . Practical Methods of Optimization , Vol. 2 , John Wiley and Sons . Constrained Optimization
   Google Scholar