Evaluating the detection capability of different beamforming techniques based on real-time data of underwater sensor arrays

This paper aims to evaluate the detection capability of three different beamforming techniques namely Bartlett, MUSIC, and 2D-FFT. MATLAB simulations of these techniques have been developed and applied on real-time data acquired through a linear sensor array. The simulation results and data analysis showed that 2D-FFT beamforming technique provides the best possible detection as compared to other techniques in terms of resolving the incoming targets accurately.