Yapay Sinir Aglari ile D s k Karma siklikli Y n Bulma

In this study, an artificial neural network-based direction finding method is proposed as an alternative to traditional correlation-based direction finding algorithms. Through simulations, it has been verified that the proposed method achieves a lower root mean square error (RMSE) compared to correlative interferometer. Additionally, it has been demonstrated that the computational complexity and memory requirements of the proposed method are lower than correlation-based direction finding method. The proposed artificial neural network-based method has been validated to perform direction finding with high accuracy for frequency values not encountered in the training set during the testing phase.