Searcharxiv⌕ Search

arXiv · 2610.11307

gr-ntnisac: An Open GNU Radio Testbed for NTN-ISAC

Abstract

A passive receiver can sense nearby objects from the echoes of a 5G downlink. When the transmitter is a low-Earth-orbit (LEO) satellite, one transmitter covers a wide area, but the receiver must handle tens of kHz of Doppler and a direct-path delay that changes within every observation interval. Such a receiver should be tested where the correct answer is known before it is tried on a satellite. This paper presents gr-ntnisac, an open GNU Radio testbed that applies an emulated LEO channel to a standard 5G New Radio downlink, sends it through two cabled USRPs, and scores the receiver against the delay and Doppler commanded for every path. The same receiver code runs in simulation, on recorded captures, and on hardware. As a first use, we measure cancellation of the direct path, the strong satellite signal that masks weak echoes. Depth is 34.8 dB on hardware and 37.6 dB in a matched simulation without radios, so the radios are not the main limit. Controlled simulation shows that the emulator's 8-tap fractional-delay filter and a simulated rotating blade at almost the direct path's delay each limit depth to about 40 dB; without either, depth reaches 71.0 dB. A diagnostic canceller that also removes the per-subcarrier response and per-symbol phase reaches 72.7 dB on the same captures. On a conducted capture, a payload-aided receiver detects a -25 dB moving path in 76.9 percent of dwells.

Explore related subjects

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

Soham Dhiren Desai. 2026-10-08. gr-ntnisac: An Open GNU Radio Testbed for NTN-ISAC. https://arxiv.org/abs/2610.11307

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related papers

Fidelity Where it Matters: Site-Specific Nonuniform Refinement for Wireless Digital Twins

Wireless digital twins (WDTs) enable site-specific learning, management, and evaluation, but constructing and maintaining uniformly high-fidelity WDTs for large-scale urban environments is costly. This paper studies task-oriented nonuniform WDT refinement (TONR) by addressing the following question: given a limited sensing and reconstruction budget, which building geometries in the initial WDT should be refined to best preserve wireless fidelity? A resource-constrained building selection problem is formulated to minimize the expected discrepancy between the wireless response of the refined WDT and the physical environment. Through local first-order approximation, the refinement value of each building is shown to depend jointly on its correctable geometry uncertainty and the sensitivity of the task response to that uncertainty. This value is then estimated solely from the initial low-fidelity WDT using physically interpretable geometry perturbations and central finite differences. To reduce the computational cost, a propagation-relevance ellipsoid is proposed to filter out buildings unlikely to contribute significantly to the wireless propagation. The resulting knapsack problem is solved under both equal and heterogeneous refinement costs. Simulations across multiple urban scenarios show that the proposed algorithm can substantially improve wireless fidelity by refining only a small subset of buildings.

eess.SP↗

SEER: Source-Conditioned Emotion Enhancement via Retrieval for Cochlear-Implant Speech

Cochlear implants (CIs) restore speech access but weaken cues needed for vocal emotion recognition. Prior CI-oriented enhancement requires parallel normal/strong recordings and intensity labels. We propose SEER, a retrieval-based framework that learns which same-emotion reference helps each source remain recognizable after CI processing. A source-conditioned retriever learns CI-aware utility from sampled emotional voice conversion outcomes, while uncertainty-guided exploration avoids exhaustive pair evaluation; neither parallel recordings nor intensity labels are required. SEER improves Source macro-F1 at N8 by 7.30 points on RAVDESS and 11.66 points on ESD, with significant ESD gains across N4/N8/N16. Sixteen-listener RAVDESS gains are significant across all conditions. Exhaustive analysis finds an aggregate benefit from stronger references but little effect from matching gender or content.

eess.SP↗

2D Coprime Pilots for Delay-Doppler Sensing in OFDM-ISAC Systems

Integrated Sensing and Communication (ISAC) is envisioned to endow future 6G systems with seamless sensing capabilities. To support efficient sensing with minimum communication overhead, sparse pilots embedded within communication frames have emerged as a promising solution. Along this line of research, existing studies have achieved engaging results in maximizing the unambiguous sensing region. However, jointly maximizing the sensing region and sensing accuracy remains challenging due to the lack of a unified performance metric and an effective pilot design framework. This paper jointly optimizes the unambiguous sensing region and sensing accuracy for estimating delay-Doppler (DD) parameters in Orthogonal Frequency Division Multiplexing (OFDM)-ISAC systems, where sensing mutual information (SMI) is adopted as a unified performance metric to characterize the overall sensing capability. Specifically, the joint optimization is formulated as an SMI maximization problem by systematically resolving sensing ambiguity and optimizing sensing accuracy. In particular, based on the generalized Bezout identity, we derive a 2D (timefrequency) coprime condition, which, as far as the authors know, is the first necessary and sufficient condition to achieve the unique estimation of DD parameters in the literature. Under this unambiguous condition, we further propose an Adam-Guided Iterative Refinement (AGIR) algorithm to optimize the sensing accuracy. Numerical results demonstrate the advantage of the proposed framework over existing designs, owing to the freedom offered by the 2D coprime condition in optimizing the sensing accuracy.

eess.SP↗