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A neural network framework for binary classification of radar detections.
(2021-09-17)
A desired objective in radar target detection is to satisfy two very contradictory requirements: offer a high probability of detection with a low false alarm rate. In this paper, we propose the utilization of artificial ...
Augmenting Radar Doppler Resolution with Neural Networks
(2021-12-08)
In order to generate high-resolution Doppler profiles a radar needs to emit a large number of pulses within a coherent processing interval (CPI). For a radar operating in demanding scenarios it can be difficult to sustain ...
Discrete Fourier Transform with Neural Networks
(2021-12-10)
The discrete Fourier transform is an important computational tool to retrieve the frequency distribution of a sampled signal. Recent years have also witnessed considerable research activity in neural networks as a mean to ...