Direction-of-Arrival Estimation
Overview
Direction-of-arrival (DoA) estimation recovers the directions of one or more sources from signals recorded by microphones, radar, or other sensor arrays, supporting localization, tracking, and beamforming. Classical approaches include MUSIC and other subspace methods, beamforming, and time-difference-of-arrival techniques such as GCC-PHAT; structured matrix methods and continuous optimization address closely spaced or near-field sources. Learned CNNs, transformers, graph networks, and equivariant models are increasingly combined with signal-processing structure and physical constraints, with evaluation spanning simulated arrays, measured room responses, real recordings, and communications systems. A central challenge is maintaining accuracy under reverberation, noise, array mismatch, motion, and changing environments while meeting limits on data, uncertainty, and end-to-end latency.
Latest papers
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