Two-dimensional evolutionary programming-based CLEAN

In this work, we present a novel two-dimensional (2-D) scattering center extraction method, called 2-D evolutionary programming (EP)-based CLEAN. The 2-D EP-based CLEAN uses the ideal point scattering model and EP for optimization. Our algorithm has accuracy, robustness and better resolution than the fast Fourier transform (FFT)-based CLEAN. Further, it does not require the transformation of measured data from the polar frequency domain to the Cartesian frequency domain or to the image domain. Numerical simulations are performed to verify the characteristics of the proposed algorithm, such as resolution, robustness and accuracy.

[1]  Randolph L. Moses,et al.  Two-dimensional Prony modeling and parameter estimation , 1993, IEEE Trans. Signal Process..

[2]  Thomas Kailath,et al.  Detection of signals by information theoretic criteria , 1985, IEEE Trans. Acoust. Speech Signal Process..

[3]  In-Sik Choi,et al.  One-dimensional evolutionary programming-based CLEAN , 2001 .

[4]  Edward J. Rothwell,et al.  Scattering center analysis of radar targets using fitting scheme and genetic algorithm , 1996 .

[5]  Stéphanie Rouquette-Léveil,et al.  Estimation of frequencies and damping factors by two-dimensional ESPRIT type methods , 2001, IEEE Trans. Signal Process..

[6]  L. M. Novak A comparison of 1D and 2D algorithms for radar target classification , 1991, IEEE 1991 International Conference on Systems Engineering.

[7]  B. D. Steinberg,et al.  Reduction of sidelobe and speckle artifacts in microwave imaging: the CLEAN technique , 1988 .

[8]  Ming-Wang Tu,et al.  Application of maximum likelihood estimation to radar imaging , 1997 .

[9]  Lee C. Potter,et al.  Attributed scattering centers for SAR ATR , 1997, IEEE Trans. Image Process..

[10]  Inder J. Gupta,et al.  High-resolution radar imaging using 2-D linear prediction , 1994 .

[11]  Cheng-Yan Kao,et al.  A combined evolutionary algorithm for real parameters optimization , 1996, Proceedings of IEEE International Conference on Evolutionary Computation.

[12]  Randolph L. Moses,et al.  High resolution radar target modeling using a modified Prony estimator , 1992 .

[13]  D. Mensa High Resolution Radar Cross-Section Imaging , 1991 .

[14]  Etienne Barnard,et al.  Two-dimensional superresolution radar imaging using the MUSIC algorithm , 1994 .

[15]  Yingbo Hua Estimating two-dimensional frequencies by matrix enhancement and matrix pencil , 1992, IEEE Trans. Signal Process..

[16]  Ilan Ziskind,et al.  Detection of the number of coherent signals by the MDL principle , 1989, IEEE Trans. Acoust. Speech Signal Process..

[17]  E. Botha Classification of aerospace targets using superresolution ISAR images , 1994, Proceedings of COMSIG '94 - 1994 South African Symposium on Communications and Signal Processing.

[18]  Marimuthu Palaniswami,et al.  Computational Intelligence: A Dynamic System Perspective , 1995 .

[19]  Yingbo Hua,et al.  Imaging of point scatterers from step-frequency ISAR data , 1993 .

[20]  Randolph L. Moses,et al.  Performance estimation of model-based automatic target recognition using attributed scattering center features , 1999, Proceedings 10th International Conference on Image Analysis and Processing.