Author

Reza Asvadi

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Open access 2026

DOA Estimation for Low-Angle Targets Using Time–Frequency Deep Learning

Three neural-network-based estimators are developed, including a multilayer perceptron (MLP) that exploits frequency diversity, a bidirectional long short-term memory (BiLSTM) that exploits temporal diversity, and an MLP-BiLSTM fusion network that jointly exploits time and frequency diversity for DOA estimation.

A. A. Dezfuli, Reza Asvadi · IEEE Access · 0 citations