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It has well known that MUSIC and ESPRIT algorithms estimate angle of arrival(AOA) with high resolution by eigenvalue decomposition of the covariance matrix which were obtained from the array antennas. However, the disadvantage of MUSIC and ESPRIT is that they are computationally ineffective, and then they are difficult to implement in real time. The other problem of MUSIC and ESPRIT is to require calibrated antennas with uniform features, and are sensitive to the manufacturing fault and other physical uncertainties. To overcome these disadvantages, several method using neural model have been study. For multiple signals, those methods neural mode. Computer simulations show the validity of the propose algorithm. It follows that the proposed method yields better AOA estimates than MUSIC. Moreover, ore method does not require huge training procedure and only assigns interconnected coefficients to the neural network prior to AOA estimation. |
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