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.
|Journal||International Conference on Signal Processing. Proceedings|
|Publication status||Published - 2012|
|Event||11th IEEE International Conference on Signal Processing - Beijing, China|
Duration: 21 Oct 2012 → 25 Oct 2012
|Conference||11th IEEE International Conference on Signal Processing|
|Period||21/10/2012 → 25/10/2012|