Title :
The variance of non-parametric errors-in-variables estimates
Author_Institution :
Sch. of Electr. Eng. & Comput. Sci., Newcastle Univ., NSW, Australia
Abstract :
Frequency response functions (FRF) measured by taking the ratio of the output to the input Fourier coefficients of the steady state response of the system to a periodic excitation are considered. Under assumptions of additive Gaussian noise on both the inputs and outputs the variance of such measurements is infinite. If an exclusion zone is applied the variance can be rendered finite. An expression for the variance, which includes the case where the input and output noise sources are correlated, is given. The expression is useful for the estimate without exclusion zone over a wide range of input signal to noise ratio.
Keywords :
AWGN; frequency response; parameter estimation; probability; Fourier coefficients; additive Gaussian noise; errors-in-variables estimates; frequency response functions; periodic excitation; signal to noise ratio; steady state response; Additive noise; Discrete Fourier transforms; Frequency estimation; Frequency measurement; Frequency response; Noise measurement; Probability density function; Signal to noise ratio; State estimation; Steady-state;
Conference_Titel :
Decision and Control, 2003. Proceedings. 42nd IEEE Conference on
Print_ISBN :
0-7803-7924-1
DOI :
10.1109/CDC.2003.1272186