Sub-band implementation of the Harmonic MUSIC algorithm

In this paper, we present a novel method for joint estimation of the order and fundamental frequency of a set of harmonically related sinusoids. This method uses a subband based approach to estimate the involved parameters using subspace techniques, and the resulting algorithm is termed frequency-selective harmonic MUSIC (F-HMUSIC). The performance of F-HMUSIC is evaluated and compared to both harmonic MUSIC (HMUSIC) and Cramer-Rao lower bound (CRLB). Especially, in a low signal-to-noise ratio (SNR) with colored noise scenarios, where F-HMUSIC outperforms HMUSIC. F-HMUSIC is concluded to be more computationally efficient and more robust against colored noise than other subspace based fundamental frequency estimators.