An RF Direction Finding Payload for UAVs with Deep Learning Direction Prediction Via Resnet
2025 International Conference on Unmanned Aircraft Systems (ICUAS)（2025）
Key words
Deep Learning,Radiofrequency,Frequency Band,Design Considerations,Antenna Array,Deep Learning Architectures,Direction Of Arrival,Signals Intelligence,Arrival Of Signal,Direction Of Arrival Estimation,Loss Function,Training Dataset,Convolutional Neural Network,Correlation Matrix,Additive Noise,Phase Response,Neural Architecture,Environmental Sources,Beamforming,Electromagnetic Interference,Phase Variation,Raspberry Pi,Coherent Receiver,Real Components,Heat Sink,Monopole Antenna,Array Geometry,Vanishing Gradient Problem,Angular Error,Time Difference Of Arrival
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