Prof. Al-Azzo

Ninevah University, Iraq



Title of the paper: Ultrasonic Radiator Locality Estimation Using The Root-Eigenvector Method


Abstract: Radiator locality estimation is considered one of the essential tasks in determining the locality of received signals using uniform linear arrays (ULA), where the radiator’s spatial locality is specified with respect to a reference point. In this context, the performance of a modern high-resolution algorithm, known as Root-Eigenvector (R-EV), is compared with a classical algorithm, the Fast Fourier Transform (FFT). The simulation was carried out using MATLAB, and it was based on a set of parameters, such as the wavelength, the number of antennas, the spacing between antennas, and the signal-to-noise ratio (SNR). The error percentage in the locality of each radiator was calculated, in addition to the minimum distance between the ultrasonic radiators at which two adjacent radiators can be distinguished. The simulation results clearly showed the superiority of the Root-Eigenvector (R-EV) algorithm over the FFT algorithm in terms of estimation accuracy and efficiency.

Bio: Mujahid Al-Azzo received the B.Sc., M.Sc. in electrical engineering/ electronic and communication in 1982, and 1985 respectively, and the PhD, in communication engineering in 1999, all from Mosul University/Iraq. His interest is in the fields of statistical signal processing, spectral estimation, mathematical modelling, direction of arrival estimation, and transmitting sources positioning.




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