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arXiv · 2503.04960

Joint Delay-Doppler Estimation using OFDMA Payloads for Integrated Sensing and Communications

Marc Miranda·Sebastian Semper·Christian Schneider·Reiner Thomä·Giovanni Del Galdo
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Abstract

The use of future communication systems for sensing offers the potential for a number of new applications. In this paper, we show that leveraging user data payloads in multi-node Orthogonal Frequency Division Multiple Access (OFDMA) networks for estimating target delay and Doppler-shift parameters can yield a significant advantage in SNR and addressable bandwidth. However, gaps in the frequency-time resources, reference signal boosting and amplitude modulation schemes introduce challenges for estimation at the sensing receiver. In this work, we propose a joint delay and Doppler-shift model-based estimator designed to address these challenges. Furthermore, we demonstrate that incorporating knowledge of the device model into the estimation procedure helps mitigate the effects of the non-ideal radar ambiguity function caused by amplitude-modulated user payloads and sparse reference signals. Simulation results demonstrate that the estimator achieves the theoretical lower bound on estimation variance.

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Marc Miranda, Sebastian Semper, Christian Schneider, Reiner Thomä, Giovanni Del Galdo. 2025-03-06. Joint Delay-Doppler Estimation using OFDMA Payloads for Integrated Sensing and Communications. https://arxiv.org/abs/2503.04960

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