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Peter Klimas

Publications and source records attributed to Peter Klimas.

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Space-Based GNSS Radio Frequency Interference Detection Evaluation Through Multi-Satellite Data Integration

Space-based GNSS reflectometry (GNSS-R) can detect terrestrial radio frequency interference (RFI) through elevated noise power in delay-Doppler map forbidden zones. This study evaluates how constellation size affects detection performance using Level 1 delay-Doppler observations from seven CYGNSS spacecraft collected over three months from the NASA PO.DAAC archive. Four metrics are analysed: detection latency, spatial coverage, spatial coherence, and persistence monitoring reliability. Results show that the full seven-satellite constellation reduces median detection latency by a factor of 4.7 compared with a single satellite and increases interception probability for a 5-minute emission from 2\% to 11.5\%. Median footprint revisit time improves from 5.8 hours to under 2.0 hours. Spatial coherence analysis indicates that a single satellite leaves up to 72\% of source structure unresolved. Persistence monitoring confirms interference onset 39 days earlier than single-satellite deployment. The largest gains occur between one and three satellites, establishing three satellites as the minimum effective constellation size.

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Resilience Through Escalation: A Graph-Based PACE Architecture for Satellite Threat Response

Modern satellite systems face increasing operational risks from jamming, cyberattacks, and electromagnetic disruptions in contested space environments. Traditional redundancy strategies often fall short against such dynamic and multi-vector threats. This paper introduces a resilience-by-design framework grounded in the PACE methodology, which stands for Primary, Alternate, Contingency, and Emergency, originally developed for tactical communications in military operations. It adapts this framework to satellite systems through a layered state-transition model informed by threat scoring frameworks such as CVSS, DREAD, and NASA's risk matrix. We define a dynamic resilience index to quantify system adaptability and implement three PACE variants including static, adaptive, and epsilon-greedy reward-optimized to evaluate resilience under diverse disruption scenarios. Results show that lightweight, decision-aware fallback mechanisms can substantially improve survivability and operational continuity for next-generation space assets.

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