Format: NPYPublisher: IEEE DataPortPublication Date of the Electronic Edition: 12/12/2025
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ISBN: 10.21227/1e9s-mg43
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Description
This dataset contains a fully synthetic multimodal radar perception dataset designed for evaluating perception-aware learning in cognitive radar networks with limited sensing resources. It includes (i) STFT-based 2D spectrogram features for CNN models, and (ii) complex I/Q baseband radar returns for sequential deep learning models. Each instance represents a radar burst labeled as useful or non-useful, enabling binary perception classification tasks. The dataset supports research in cognitive radar, spectrum-efficient sensing, AI-based radar perception, and reproducible benchmarking.
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