Title :
Application of Minimum Entropy Estimation in Modal Analysis
Author :
Ta, Minh ; Zhou, Dayong ; DeBrunner, Victor
Author_Institution :
Sch. of Electr. & Comput. Eng., Oklahoma Univ., Norman, OK
Abstract :
We propose a modification of the popular eigensystem realization algorithm (ERA) using the minimum entropy estimation (MEE) method. The eigensystem realization algorithm is an LS method that is used to estimate the system matrices in a state-space representation of a physical structure. The MEE is known for its superior variance estimation as compared to the LS method when the measurement noise is unknown and non-Gaussian. It can be used to give a better estimate of the Markov sequence of a dynamical system, which in turn leads to the estimation of the system matrices and the poles using ERA
Keywords :
Markov processes; eigenvalues and eigenfunctions; minimum entropy methods; signal processing; ERA; MEE; Markov sequence; dynamical system; eigensystem realization algorithm; minimum entropy estimation method; modal analysis; state-space representation; Application software; Entropy; Gaussian noise; Hydrogen; MIMO; Measurement uncertainty; Modal analysis; Noise measurement; State estimation; Working environment noise;
Conference_Titel :
Digital Signal Processing Workshop, 12th - Signal Processing Education Workshop, 4th
Conference_Location :
Teton National Park, WY
Print_ISBN :
1-4244-3534-3
Electronic_ISBN :
1-4244-0535-1
DOI :
10.1109/DSPWS.2006.265441
