DocumentCode :
2305429
Title :
Generating the wideband high resolution RCS data from sparse and incomplete data
Author :
Jie Yang ; Sarkar, T.K.
Author_Institution :
Syracuse Univ., Syracuse
fYear :
2007
fDate :
9-15 June 2007
Firstpage :
57
Lastpage :
60
Abstract :
In this paper we apply the Cauchy method to interpolate/extrapolate the radar cross section (RCS) data (amplitude-only data) over a frequency band. This is accomplished by approximating the amplitude-only RCS data by a ratio of two polynomials, the coefficients of which are calculated by using the total least square (TLS) implementation of a singular value decomposition (SVD) technique so as to properly estimate the dimension of the null space. By applying the Cauchy method, an electromagnetic system is represented by a set of poles and zeros in the s-plane. Once these coefficients in the numerator and the denominator polynomials in the Cauchy method are computed using the amplitude-only RCS data, the response can be interpolated/extrapolated over other frequencies of interest. Numerical examples are presented to illustrate the applicability of the Cauchy method in interpolating/extrapolating RCS data over a frequency band.
Keywords :
least squares approximations; polynomials; radar cross-sections; singular value decomposition; Cauchy method; SVD technique; amplitude-only RCS data; denominator polynomials; electromagnetic system; numerator polynomials; radar cross section; s-plane; singular value decomposition technique; total least square implementation; wideband high resolution RCS data; Amplitude estimation; Electromagnetic analysis; Frequency domain analysis; Frequency response; Least squares approximation; Poles and zeros; Polynomials; Radar cross section; Singular value decomposition; Wideband;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Antennas and Propagation Society International Symposium, 2007 IEEE
Conference_Location :
Honolulu, HI
Print_ISBN :
978-1-4244-0877-1
Type :
conf
DOI :
10.1109/APS.2007.4395429
Filename :
4395429
Link To Document :
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