RadioML2016.10A\/10B\/10C
收藏IEEE2026-04-17 收录
下载链接：
https://ieee-dataport.org/documents/radioml201610a10b10c-0
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资源简介：
RadioML 2016.10A, released by DeepSig as part of the RadioML project, is an open-source synthetic radio signal dataset introduced at the 6th GNU Radio Conference in 2016. It is an improved version of the earlier 2016.04C release, offering a cleaner and more standardized format.The dataset encompasses 11 modulation types (e.g., 8PSK, WBFM, AM-DSB) across SNRs ranging from -20dB to 18dB (2dB steps), with 1,000 samples per modulation-SNR pair (resulting in a total of 220,000 signals). The dataset emulates real-world impairments, including multipath fading, local oscillator offsets, and frequency-selective fading. This configuration provides a rigorous benchmark for robustness testing under practical wireless channel distortions.
提供机构：
T.J. O'Shea
