Scalar Minimax Filter-based Phase Tracking for Continuous-Variable Quantum Key Distribution
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- Scalar_Minimax_Filter-based_Phase_Tracking_for_Continuous-Variable_Quantum_Key_Distribution
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In local local oscillator (LLO)-based continuous-
variable quantum key distribution (CV-QKD), a difference between
the linewidth values of two free-running lasers at Alice and Bob
induces a phase drift noise. This work proposes a novel minimax
filter-based phase tracking that aims to minimize the phase drift
considering maximum residual phase error to achieve optimal
phase estimation. Simulation results show that the minimax filter
offers a lower phase estimation mean square error (MSE) value
compared to the Kalman filter when worst-case phase drift error
due to high linewidth difference or high measurement noise values
are considered.
variable quantum key distribution (CV-QKD), a difference between
the linewidth values of two free-running lasers at Alice and Bob
induces a phase drift noise. This work proposes a novel minimax
filter-based phase tracking that aims to minimize the phase drift
considering maximum residual phase error to achieve optimal
phase estimation. Simulation results show that the minimax filter
offers a lower phase estimation mean square error (MSE) value
compared to the Kalman filter when worst-case phase drift error
due to high linewidth difference or high measurement noise values
are considered.
| Original language | English |
|---|---|
| Title of host publication | 13th International Symposium on Communication Systems, Networks and Digital Signal Processing (CSNDSP) |
| Pages | 499-502 |
| Publication status | Published - 1 Sept 2022 |