Joint Features Extraction from Multiple Harmonic Sources Based on MUSIC Algorithm
نویسندگان
چکیده
Ship noise received by passive sonar is multiple harmonic sources, from which the recognition features of ship can be extracted. Based on the multiple signal classification estimation theory, a joint estimation method of harmonic sources number, harmonic orders and fundamental frequencies is developed in this paper. The observed signal vector is decomposed into multiple harmonics vector and noise vector, and the spectral factorization of spatial covariance matrix is evaluated to obtain the signal subspace and noise space. By exploiting the orthogonal property between subspaces, the spatial spectral representing cost function is presented. The number of harmonic sources, model orders and fundamental frequencies are obtained by maximizing the cost function. Simulation results verified the effectiveness of the proposed algorithm. Copyright © 2013 IFSA.
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