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.

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.