Solid-state quantum gyroscope for gnss-denied maritime and aerospace navigation
Overview: A solid-state quantum gyroscope designed to deliver high-precision, drift-free rotational sensing for maritime vessels, subsea Autonomous Underwater Vehicles (AUVs), and aerospace platforms operating in GNSS-denied or jammed environments.
The Problem: Modern autonomous navigation relies heavily on GNSS/GPS, making platforms highly vulnerable to signal jamming, spoofing, and loss of connection in deep-sea or subterranean operations. Traditional optical gyroscopes (RLGs and FOGs) suffer from long-term bias drift, requiring frequent external calibration.
How It Works & Technical Novelty: The system leverages Nitrogen-Vacancy (NV) centers in diamond combined with Coherent Population Trapping (CPT) and forward-scattering physics:
- Hyperfine Transitions (f -> F): Measures micro-rotational dynamics by probing ground-state (f = {1, 2}) to excited-state (F = {1, 2}) hyperfine transitions.
- Coherent Intensity Signal: Rotational velocity (Omega_{rot}) is detected via coherent intensity shifts (I_{coh}), zero-centered at Omega_{rot} = 0.
- Solid-State Robustness: Eliminates fragile atomic gas cells and moving parts, yielding high resilience against engine vibrations, wave impacts, and high ambient pressures in subsea deployments.
- Physics Scaling: All operational parameters and sensitivity slopes are normalized to the excited-state decay rate (Gamma_e), ensuring predictable performance across operational temperature ranges.
Proof to Date & Readiness (TRL 2/3): Comprehensive theoretical framework and numerical modeling completed. The physics model quantifies signal sensitivity across operational maritime maneuverability windows and defines optimal transition paths for signal contrast.
Key References & Scientific Foundations:
- B. Łobodziński, W. Gawlik, "Multipole moments and trap states in forward scattering of resonance light," Physical Review A, 54(3), 2238 (1996).
- B. Łobodziński, W. Gawlik, "Role of trap states in forward scattering of resonance light," Physica Scripta, 70, 138 (2004).
- W. Gawlik, B. Łobodziński, et al., "Stochastically-induced quantum interference in coherently driven two-level atoms," Acta Phys. Hung. B, 20, 51 (2004).
Partnering Objectives & Next Steps: We are seeking industry R&D partners, defense innovation sponsors, and maritime/aerospace stakeholders for:
- Sponsored Research: Funding for experimental testbed setup and optical hardware assembly.
- Joint Co-Development: Engineering collaboration to integrate the solid-state sensor into compact Lab-on-a-Chip architecture.
- Field Validation: Access to real-world testing environments (vessels, flight systems, or AUV platforms).
About Private Person
Data Analytics For All is a personal blog operated by data scientist Bogdan Lobodzinski, which serves as a platform for sharing technical insights, case studies, and analytical projects. The blog explores complex topics such as semantic search, recommender systems, financial modeling using ARIMA with exogenous data, and statistical analysis of public events like elections. By documenting these experiments and methodologies, the site provides a resource for exploring practical applications of data science and predictive analytics in various domains.
This project reflects the author's professional work in providing consulting services for enterprises and organizations. It functions as a public portfolio and knowledge-sharing hub, demonstrating the author's expertise in developing and testing machine learning models and statistical techniques. It is primarily used to disseminate research, promote discussion on analytical trends, and showcase the author's capabilities in delivering prescriptive and predictive data solutions.
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