Title :
The utilization of higher-order spectra to determine nonlinear radar cross sections
Author :
Powers, Edward J. ; Im, Sungbin
Author_Institution :
Dept. of Electr. & Comput. Eng., Texas Univ., Austin, TX, USA
Abstract :
The objective of this paper is to indicate how digital higher-order spectral analysis may be used to determine linear and cubic radar cross sections given time series data representing the transmitted and received signals. The approach utilizes an orthogonal Volterra-like model. In this case, the absolute value squared of the linear and cubic frequency-domain “orthogonal” kernels can be directly related to the linear and cubic radar cross sections, respectively. Of note is the fact that the approach makes no assumptions concerning the statistics of the transmitted signal
Keywords :
Volterra series; frequency-domain analysis; radar cross-sections; radar signal processing; spectral analysis; time series; cubic frequency-domain kernel; digital higher-order spectral analysis; higher-order spectra; linear frequency-domain kernel; nonlinear radar cross sections; orthogonal Volterra-like model; received signal; statistics; time series data; transmitted signal; Electromagnetic scattering; Frequency domain analysis; Frequency modulation; Interference; Kernel; Power system modeling; Radar cross section; Radar scattering; Spectral analysis; Statistics;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1994. ICASSP-94., 1994 IEEE International Conference on
Conference_Location :
Adelaide, SA
Print_ISBN :
0-7803-1775-0
DOI :
10.1109/ICASSP.1994.389786