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The high resolution direction-of-arrival (DOA) estimation is important in many sensor systems. It is based on the processing of the received signal and extracting the desired parameters of the DOA of plane waves. Many approaches have been used for the purpose of implementing the function required for the DOA estimation. The Multiple Signal Classification (MUSIC) and the Estimation of Signal Parameters by Rotational Invariance techniques (ESPRIT) algorithms are two novel approaches used recently to provide asymptotically unbiased and efficient estimates of the DOA. They are believed to be promising and appropriate for hardware implementation for real time applications. They estimate the so called signal subspace from the array measurements. The parameters of interest (i.e. determining of the DOA) are then estimated from the intersection between the array manifold and the estimated subspace