Abstract
The concept of spatial time-frequency distribution (STFD) has been recently introduced and applied to solve the problem of blind source separation for nonstationary signals. In this paper, we propose to apply this same concept to solve the problem of the direction of arrival (DOA) estimation. A new method for the estimation of the signal subspace and noise subspace based on time-frequency signal representations is introduced. The proposed approach consists of the join block- diagonalization (JBD) of a combined set of spatial time frequency distribution matrices. Once the signal and the noise subspaces are estimated, any subspace based approach can be applied for DOA estimation. Herein, we propose to use the MUSIC algorithm. Performance comparison of the proposed approach with the classical MUSIC method is provided. The influence of the time-frequency kernels on the performance of the newly proposed Time-Frequency MUSIC (TF-MUSIC) is evaluated numerically.© (1998) COPYRIGHT SPIE--The International Society for Optical Engineering. Downloading of the abstract is permitted for personal use only.
Published Version
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