Title :
Iterative Gram-Schmidt orthonormalization for efficient parameter estimation
Author_Institution :
Dept. of Electr. & Comput. Eng., New Jersey Inst. of Technol., Newark, NJ, USA
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;
Conference_Titel :
Acoustics, Speech and Signal Processing, 1998. Proceedings of the 1998 IEEE International Conference on
Conference_Location :
Seattle, WA
Print_ISBN :
0-7803-4428-6
DOI :
10.1109/ICASSP.1998.681653
