1
PhD student, Malek Ashtar University of Technology, Tehran, Iran
2
Assistant Professor, Malek Ashtar University of Technology, Tehran, Iran
Abstract
Classical methods in array processing focus on increasing the separability of near-source sources in noise conditions when the wave propagation is in a flat environment. Among the classical methods, MUSIC and its modification are more common and have received more attention. This paper presents a method for detecting sound sources for passive arrays. First, the classical MUSIC algorithm is described. Then, based on the basic points in this method, the proposed idea is introduced. The idea is to add a virtual source with a desired angle that is independent of the sources and their noise to the data obtained from the sensors. This virtual resource is independent of the sources and their noise. Adding this source at the desired angle increases the order of the covariance matrix by one unit.by changing the angle of the virtual source, wherever its angle is aligned with the angle of one of the main sources, the order of the covariance matrix decreases from the increased value to the actual value. Finally, the idea is simulated for a passive five-element array for both independent and coherent sources to demonstrate detection quality.
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rahi, M., Shafiee Neyestanak, M., & abolghasemi, M. (2022). Improve The Orientation of Sound Sources Using Independent Virtual Source in Passive Array. Radar, 10(1), 27-34.
MLA
mehdi rahi; Morteza Shafiee Neyestanak; mojtaba abolghasemi. "Improve The Orientation of Sound Sources Using Independent Virtual Source in Passive Array", Radar, 10, 1, 2022, 27-34.
HARVARD
rahi, M., Shafiee Neyestanak, M., abolghasemi, M. (2022). 'Improve The Orientation of Sound Sources Using Independent Virtual Source in Passive Array', Radar, 10(1), pp. 27-34.
VANCOUVER
rahi, M., Shafiee Neyestanak, M., abolghasemi, M. Improve The Orientation of Sound Sources Using Independent Virtual Source in Passive Array. Radar, 2022; 10(1): 27-34.
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