Interference and Multipath Resilient ToA Estimation

Fuente: arXiv
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Auteurs principaux: Barros, António, Studer, Christoph
Format: Preprint
Publié: 2025
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author Barros, António
Studer, Christoph
author_facet Barros, António
Studer, Christoph
contents 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.
format Preprint
id arxiv_https___arxiv_org_abs_2511_22629
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Interference and Multipath Resilient ToA Estimation
Barros, António
Studer, Christoph
Signal Processing
Information Theory
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.
title Interference and Multipath Resilient ToA Estimation
topic Signal Processing
Information Theory
url https://arxiv.org/abs/2511.22629