Abstract

In this paper, a novel one dimensional harmonic retrieval (HR) algorithm is proposed, which can be applied in additive colored Gaussian or non-Gaussian noise when the frequencies of the harmonic signals are closely spaced in frequency domain. Resorting to the blind source separation (BSS) based harmonic retrieval model, the main algorithm is developed mainly using the wavelet packet (WP) decomposition approach, where the criterion is formed as the cumulant based approximation of the mutual information (MI) for the selection of optimal sub-band of WP decomposition with the least-dependent components between the same nodes. Simulation results show that the proposed algorithm can retrieve the harmonic source signals and yield good performance.

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