Improved resolution for separation between acoustical transmitters with their locations using Eigenvector algorithm

Abstract

Through the mathematical model that is derived to localize and separate acoustic sources. We used two methods and compared the results of them: classical method (Fourier transform), with the newer method (Eigenvector) or what represents (super resolution). The results of the comparison revealed the superiority of (Eigenvector) over (Fourier transform) in several aspects, the most important of which are contiguous sources in addition to the location of the sources. The study relied on a set of different criteria directly related to the problem.