EMMA-UAVDOP v0.2

Warning

Pre-implementation. This page describes proposed contracts. Class signatures, parameter types, schema fields, and behavior are subject to change before code lands. Once implementation exists, content here will be regenerated from docstrings or sourced from running tests.

Dataset. EMMA-UAVDOP-v0.2 covers the task, target domain, input, labels, splits, and the download command; this recipe pins only the rfgen configuration. Source. rfgen (primary).

rfgen recipe

  • rfgen commit: <rfgen-commit> (frozen at release; placeholder until pinned).

  • Emitters: UAV platforms with moving rotors, modeled as radar targets with a micro-Doppler signature. Emitter selection and motion come from the rfgen scene group.

  • Receiver array: 8-element ULA (uniform linear array), half-wavelength spacing (spacing_lambda: 0.5), via the rfgen MultiRXConfig.geometry member ULA. Loaded into ArraySpec at load time.

  • Channel environment(s): E_URBAN and E_RURAL, pinned through the rfgen channel group.

  • Labeler + label extraction: the rfgen label group records the platform and motion class; LabelExtractor maps emitters[].platform_class and emitters[].motion_profile to the classification target.

  • SNR (signal-to-noise ratio) regime: drawn from the rfgen channel.snr_db_range.

  • Sample counts: <to be pinned at v0.2>.

  • Splits + seeds: train / dev / holdout seed ranges pinned at release; the holdout is a frozen secret seed, never published. OOD axis: unseen platform + motion profile.

Real-capture counterpart

To be determined at v0.2 (real UAV micro-Doppler captures are scarce in the public testbed set).

Notes

  • (depends on rfgen RT micro-Doppler not yet shipped) This recipe cannot pin until rfgen can synthesize realistic micro-Doppler from moving rotor blades (the fine Doppler signature produced by moving parts of a target). The recipe is a placeholder until that real-time kinematic coverage lands; do not treat it as complete.

  • Micro-Doppler is physically a continuous kinematic quantity; the classification target must not confound platform identity with a single motion profile.

References

  • Chen et al., “Micro-Doppler Effect in Radar,” 2003 and the micro-Doppler literature. (verify)

  • Skolnik, “Introduction to Radar Systems,” McGraw-Hill. The radar textbook of record. (verify edition)

See Also