The work develops an open simulator and three security techniques for 5G PRS-based OTDOA positioning that achieve over 90% attack detection rates against spoofing, jamming, and meaconing in simulations.
Multiple emitter location and signal parameter estimation,
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A speculative DL classifier validated by GLRT on spatially robust second-order statistics provides adversarially resilient array processing.
A signal-strength DOA method that explicitly models missed detections via known thresholds yields higher accuracy than phase-based or detection-ignoring baselines in both simulation and BLE experiments.
Hybrid ITC-OLS algorithm integrates model-order selection into greedy DoA estimation and outperforms other variants and a literature baseline in simulations.
Prototypical networks trained on 23% of angle classes achieve 3-degree MAE on unseen angles with 4 shots and 2-degree MAE with 32 shots on real SDR data.
citing papers explorer
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Threat Detection and Resilience Techniques in PRS-Assisted OTDOA 5G Positioning Systems
The work develops an open simulator and three security techniques for 5G PRS-based OTDOA positioning that achieve over 90% attack detection rates against spoofing, jamming, and meaconing in simulations.
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A Speculative GLRT-Backed ApproachRobust Deep Learning-Based Array Processing
A speculative DL classifier validated by GLRT on spatially robust second-order statistics provides adversarially resilient array processing.
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Utilizing Missed Detections in Directional Sensitivity-Based DOA Estimation
A signal-strength DOA method that explicitly models missed detections via known thresholds yields higher accuracy than phase-based or detection-ignoring baselines in both simulation and BLE experiments.
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Orthogonal Least Squares with Integrated Information Theoretic Criteria for Joint Number of Targets and DoA Estimation
Hybrid ITC-OLS algorithm integrates model-order selection into greedy DoA estimation and outperforms other variants and a literature baseline in simulations.
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ProtoAoA: Few-Shot Angle-of-Arrival Estimation using Prototypical Networks
Prototypical networks trained on 23% of angle classes achieve 3-degree MAE on unseen angles with 4 shots and 2-degree MAE with 32 shots on real SDR data.