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DNN-Based DOA Estimation with Robustness by Sura Mohammed is a document available to read on EtoBox.
This article presents a deep neural network (DNN) framework for direction-of-arrival (DOA) estimation that adapts to array imperfections, enhancing generalization to unseen scenarios. The framework utilizes a multi-task autoencoder for spatial filtering and a series of classifiers to reconstruct a spatial spectrum for estimating signal directions. Simulations demonstrate the method
- Author
- Sura Mohammed
- Language
- EN