High resolution imaging of continuously moving object using stepped frequency radar

Abstract A stepped frequency inverse synthetic aperture radar is studied for imaging of continuously moving objects. The radar returns are shown to be a sum of two-dimensional complex exponentials over a small data aperture. A matrix pencil method is proposed to exploit the unique data structure and yield high resolution. The continuous motion of the object is utilized effectively.

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

[2]  B. Porat,et al.  Digital Spectral Analysis with Applications. , 1988 .

[3]  Bernard D. Steinberg,et al.  Microwave imaging of aircraft , 1988, Proc. IEEE.

[4]  Tapan K. Sarkar,et al.  On SVD for estimating generalized eigenvalues of singular matrix pencil in noise , 1991, IEEE Trans. Signal Process..

[5]  Dale A. Ausherman,et al.  Developments in Radar Imaging , 1984, IEEE Transactions on Aerospace and Electronic Systems.

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

[7]  David C. Munson,et al.  A signal processing view of strip-mapping synthetic aperture radar , 1989, IEEE Trans. Acoust. Speech Signal Process..

[8]  Chung-ching Chen,et al.  Multifrequency Imaging of Radar Turntable Data , 1980, IEEE Transactions on Aerospace and Electronic Systems.

[9]  Tapan K. Sarkar,et al.  Matrix pencil method for estimating parameters of exponentially damped/undamped sinusoids in noise , 1990, IEEE Trans. Acoust. Speech Signal Process..

[10]  Nabil H. Farhat,et al.  Optimal spectral windows for microwave diversity imaging , 1991 .

[11]  Gene H. Golub,et al.  Matrix computations , 1983 .