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Kalman filter-enabled parameter estimation for simultaneous quantum key distribution and classical communication
Optics Express
|February 25, 2022
Summary
This study introduces a Kalman filter (KF) method for accurate parameter estimation in satellite quantum communication. The approach enhances real-time tracking and precise noise estimation, improving secret key rates for secure communication systems.
Area of Science:
- Quantum communication
- Information security
- Satellite technology
Background:
- Accurate system parameter estimation is crucial for satellite-mediated simultaneous quantum key distribution and classical communication (SQCC).
- The finite-size effect poses challenges for practical SQCC implementations.
- Existing methods may not sufficiently address real-time phase drift and noise estimation.
Purpose of the Study:
- To propose a Kalman filter (KF)-enabled parameter estimation method for SQCC over satellite links.
- To improve the real-time tracking of phase estimation errors.
- To achieve precise excess noise estimation with minimal sacrifice of raw key rates.
Main Methods:
- Utilizing an improved vector KF carrier phase estimation algorithm to estimate fast and slow phase drifts.
- Real-time tracking of phase estimation error, approximating the theoretical mean square error limit.
- Leveraging dual modulation in the SQCC scheme for enhanced parameter estimation.
Main Results:
- The KF method enables real-time tracking of phase estimation errors close to the theoretical limit.
- Precise excess noise estimation is achieved with a lower sacrificing rate of raw keys.
- Numerical simulations confirm the feasibility of SQCC in both downlink and uplink, considering the finite-size effect.
- The vector KF algorithm outperforms the Mth-power algorithm in terms of secret key rate and achievable zenith angle.
Conclusions:
- The proposed KF-enabled method significantly enhances parameter estimation accuracy for satellite SQCC.
- This approach facilitates practical implementation of SQCC systems by improving key rates and system performance.
- The method effectively addresses the finite-size effect and real-time error tracking challenges.
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