IridiumRF-MR: A Multi-Receiver One-Dimensional I/Q Dataset for Specific Emitter Identification of LEO Satellites

Aiming at the lack of publicly available datasets of satellite Specific Emitter Identification (SEI) and the problem of insufficient data under multi-receiver conditions, this paper constructs a multi-receiver one-dimensional I/Q dataset for Iridium downlink signals using six ADALM-PLUTO software-defined radio receivers. The dataset contains a total of 367,658 receiver-level valid signal observations covering 66 Iridium satellites. Each sample contains metadata such as SNR, acquisition timestamp, location information, and environmental information. The dataset preserves the unmodulated tone, BPSK field, and QPSK data segment of each detected Iridium burst as one-dimensional I/Q sequences, while the multi-receiver acquisition configuration enables the investigation of receiver-dependent effects under common observation conditions. Representative classification experiments with multiple deep-learning models, different input lengths, different signal-to-noise ratios, and cross-receiver evaluations are provided as technical validation to demonstrate the usability of the released data for downstream satellite specific emitter identification tasks. The dataset provides a publicly available data resource for satellite radio frequency fingerprinting, cross-receiver identification, and low-SNR signal studies.