Single-Base-Station Indoor Localization via Super-Resolved Relative Power Delay Profiles

Indoor multipath is shaped by surrounding reflectors, scatterers, and blockages, so a relative power-delay profile (PDP) can serve as a location fingerprint without an identifiable LoS path, angle information, or absolute time-of-arrival ranging. However, a communication receiver observes finitely many noisy pilot-frequency samples rather than an ideal PDP. This paper models the resulting Dirichlet blur, delay folding, and off-grid mismatch, and reconstructs a posterior-power profile using expectation-maximization sparse Bayesian learning. In spatially consistent QuaDRiGa simulations, twofold SBL raises 20-dB Top-1 accuracy from 75.79% (native PDP) and 87.24% (threefold zero-padding) to 93.27%, with 0.392~m mean error.

Source: arXiv:2606.27157v1 - http://arxiv.org/abs/2606.27157v1 PDF: https://arxiv.org/pdf/2606.27157v1 Original Link: http://arxiv.org/abs/2606.27157v1