Zhou, Zhenhua6; Christensen, Mads Græsbøll1; So, Hing-Cheung6
1 Sektion Aalborg, The Technical Faculty of IT and Design, Aalborg University, VBN2 Media Technology, The Technical Faculty of IT and Design, Aalborg University, VBN3 Audio Analysis Lab, The Technical Faculty of IT and Design, Aalborg University, VBN4 Department of Architecture, Design and Media Technology, The Technical Faculty of IT and Design, Aalborg University, VBN5 The Faculty of Engineering and Science (TECH), Aalborg University, VBN6 unknown
In this paper, the problem of fundamental frequency and direction-of-arrival (DOA) estimation for multi-channel harmonic sinusoidal signal is addressed. The estimation procedure consists of two stages. Firstly, by making use of the subspace technique and Markov-based eigenanalysis, a multi- channel optimally weighted harmonic multiple signal classification (MCOW-HMUSIC) estimator is devised for the estimation of fundamental frequencies. Secondly, the spatio- temporal multiple signal classification (ST-MUSIC) estimator is proposed for the estimation of DOA with the estimated frequencies. Statistical evaluation with synthetic signals shows the high accuracy of the proposed methods compared with their non-weighting versions.
International Conference on Signal Processing. Proceedings, 2012, Vol 1, p. 210-214
Main Research Area:
11th IEEE International Conference on Signal Processing, 2012