Ahmad AminuMustafa SecmenMunir Aminu HuseinAminu, AhmadSecmen, MustafaHusein, Munir AminuS MisraC AyoN OmoregbeB OdusoteA Adewumi2025-10-062014978-1-4799-4998-497814799499842326-941310.1109/ICASTECH.2014.70680722-s2.0-84940118458https://gcris.yasar.edu.tr/handle/123456789/6202https://doi.org/10.1109/ICASTECH.2014.7068072In this paper the direction of arrival (DOA) and adaptive antenna array beamforming for the smart antenna applications are realized by using Minimum Variance Distortionless Response (MVDR) algorithm of DOA estimation. The MVDR supported by joint approximate diagonalization of eigenmatrices (JADE) algorithm is used to estimate the direction of arrivals of coherent signals in non-coherent groups. The generalized steering vectors using JADE algorithm are first estimated and then the spectrum methods are realized to estimate the DOA of each signal. Root mean square error (RMSE) values are computed in different scenarios for the proposed method as well as JADE-MUSIC and the corresponding results are compared. Although both methods resolved the signals correctly simulation results show that JADE based MVDR has better performances in the cases of low number of antenna elements and snapshots. The DOAs obtained are then processed using LMS adaptive beamforming algorithm to steer the main lobe of the radiation pattern to desired angles (signals) and the nulls to undesired angles (signals). The simulation results also reveal that adaptive beamforming is successfully done by annihilating the effects of undesired signals significantly.Englishinfo:eu-repo/semantics/closedAccessdirection of arrival, adaptive beamforming, joint approximate diagonalization of eigenmatrices, least mean square algorithm, minimum variance distortionless response4TH-ORDERJoint Approximate Diagonalization of EigenmatricesDirection of ArrivalMinimum Variance Distortionless ResponseAdaptive BeamformingLeast Mean Square AlgorithmConference Object