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ChainNet: Neural Network-Based Successive Spectral Analysis
We discuss a new neural network-based direction of arrival estimation scheme that tackles the estimation task as a multidimensional classification problem.
A Machine Learning Approach to DoA Estimation and Model Order Selection for Antenna Arrays with Subarray Sampling
In this paper, we study the problem of direction of arrival estimation and model order selection for systems employing subarray sampling.
Model Order Selection in DoA Scenarios via Cross-Entropy based Machine Learning Techniques
In this paper, we present a machine learning approach for estimating the number of incident wavefronts in a direction of arrival scenario.
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