Generalized eigenvector decomposition method for pole extraction and GPOF method

Author

Weidong Wang ; Haizhou Li ; Youan Ke

Author_Institution

Dept. of Electron. Eng., Beijing Inst. of Technol., China

Volume

3

fYear

1993

fDate

19-21 Oct. 1993

Firstpage

601

Abstract

The method of generalized eigenvector decomposition (GEVD) is proposed for extracting the poles of a radar target by using the autocorrelation of target late-time impulse responses in the paper. The additive noise in the signal is considered in the method. It can be used to evaluate the poles when only the amplitude data of multiple frequency returns is available. The simulation results in the paper illustrate that the new method has advantages over the generalized pencil of function (GFOF) method in the noise sensitivity and the computation.<>

Keywords

correlation methods; eigenvalues and eigenfunctions; matrix algebra; parameter estimation; poles and zeros; radar theory; random noise; signal processing; transient response; GEVD; GPOF method; additive noise; amplitude data; autocorrelation; generalized eigenvector decomposition method; multiple frequency returns; noise sensitivity; pole extraction; radar target; target late-time impulse responses; Additive noise; Autocorrelation; Computational modeling; Data mining; Eigenvalues and eigenfunctions; Equations; Frequency estimation; Least squares methods; Pulse measurements; Radar theory;

fLanguage

English

Publisher

ieee

Conference_Titel

TENCON '93. Proceedings. Computer, Communication, Control and Power Engineering.1993 IEEE Region 10 Conference on

Conference_Location

Beijing, China

Print_ISBN

0-7803-1233-3

Type

conf

DOI

10.1109/TENCON.1993.328059

Filename

328059