Title :
A state space approach for the 2-D harmonic retrieval problem
Author :
Rao, D. V Bhaskar ; Kung, S.Y.
Author_Institution :
University of California, San Diego
Abstract :
In this paper, a State Space approach to the 2-D harmonic retrieval problem is presented. Under certain assumptions, it is shown that the data and covariance matrices have finite rank and also possess a desirable algebraic structure. Then methods employing the Principal components algorithm are developed to estimate the state space parameters and the sinusoid parameters directly from the data and from the covariance information. Simulation results to support the methods are also provided.
Keywords :
Covariance matrix; Eigenvalues and eigenfunctions; Frequency; Parameter estimation; Radar; Robustness; Sonar; State estimation; State-space methods; Transfer functions;
Conference_Titel :
Acoustics, Speech, and Signal Processing, IEEE International Conference on ICASSP '84.
DOI :
10.1109/ICASSP.1984.1172376
