AIMC-Spec
收藏IEEE2026-04-17 收录
下载链接：
https://ieee-dataport.org/documents/aimc-spec
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资源简介：
AIMC-Spec is a synthetic dataset designed for automated intra-pulse modulation classification (AIMC) using spectrogram-based deep learning methods. It comprises a diverse set of 33 modulation types\u2014including frequency, phase, and hybrid modulations\u2014across a wide signal-to-noise ratio (SNR) range from -20 dB to 10 dB. Each sample contains a single, fully contained radar pulse represented as time-domain I\/Q data, power spectrograms, and optional phase information. AIMC-Spec supports structured benchmarking of AIMC algorithms under varied noise and class complexity, enabling systematic evaluation of classification performance, robustness, and generalisability.
提供机构：
Sebastian Cocks
