Iterative Gram-Schmidt orthonormalization for efficient parameter estimation

Author

Ge, Hongya

Author_Institution

Dept. of Electr. & Comput. Eng., New Jersey Inst. of Technol., Newark, NJ, USA

Volume

4

fYear

1998

fDate

12-15 May 1998

Firstpage

2477

Abstract

We present an efficient method for estimating nonlinearly entered parameters of a linear signal model corrupted by additive noise. The method uses the Gram-Schmidt orthonormalization procedure in combination with a number of iterations to de-bias and re-balance the coupling between non-orthogonal signal components efficiently. Projection interpretation is provided as rationale of the proposed iterative algorithm. Computer simulations are conducted to show the effectiveness of the algorithm

Keywords

Gaussian noise; frequency estimation; iterative methods; parameter estimation; signal processing; white noise; Gram-Schmidt orthonormalization; additive noise; computer simulations; efficient method; iterative algorithm; linear signal model; nonlinearly entered parameters; parameter estimation; projection interpretation; white Gaussian noise; Additive noise; Delay estimation; Direction of arrival estimation; Frequency estimation; Gaussian noise; Iterative algorithms; Maximum likelihood estimation; Parameter estimation; Signal processing; Signal processing algorithms;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech and Signal Processing, 1998. Proceedings of the 1998 IEEE International Conference on

Conference_Location

Seattle, WA

ISSN

1520-6149

Print_ISBN

0-7803-4428-6

Type

conf

DOI

10.1109/ICASSP.1998.681653

Filename

681653