We present a computationally-efficient algorithm for time-of-arrival (ToA) estimation that is robust under multipath propagation and strong interference. Our algorithm leverages multiple receive antennas to combine adaptive spatial filtering with autodifferentiation in order to super-resolve the tap of the first-arriving path at low computational complexity and without requiring model-order estimation. We use simulations with ray-traced indoor propagation channels to demonstrate significant performance improvements over conventional correlation-based ToA estimation methods and subspace techniques such as JADE.
@article{arxiv.2511.22629,
title = {Interference and Multipath Resilient ToA Estimation},
author = {António Barros and Christoph Studer},
journal= {arXiv preprint arXiv:2511.22629},
year = {2025}
}
Comments
Presented at the 59th Asilomar Conference on Signals, Systems, and Computers