Scalar Minimax Filter-based Phase Tracking for Continuous-Variable Quantum Key Distribution
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
Standard Standard
13th International Symposium on Communication Systems, Networks and Digital Signal Processing (CSNDSP). 2022. p. 499-502.
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
HarvardHarvard
APA
CBE
MLA
VancouverVancouver
Author
RIS
TY - GEN
T1 - Scalar Minimax Filter-based Phase Tracking for Continuous-Variable Quantum Key Distribution
AU - Al-sallami, Farah
AU - Rajbhandari, Sujan
AU - Ahmad, Zahir
AU - Grace, David
PY - 2022/9/1
Y1 - 2022/9/1
N2 - In local local oscillator (LLO)-based continuous-variable quantum key distribution (CV-QKD), a difference betweenthe linewidth values of two free-running lasers at Alice and Bobinduces a phase drift noise. This work proposes a novel minimaxfilter-based phase tracking that aims to minimize the phase driftconsidering maximum residual phase error to achieve optimalphase estimation. Simulation results show that the minimax filteroffers a lower phase estimation mean square error (MSE) valuecompared to the Kalman filter when worst-case phase drift errordue to high linewidth difference or high measurement noise valuesare considered.
AB - In local local oscillator (LLO)-based continuous-variable quantum key distribution (CV-QKD), a difference betweenthe linewidth values of two free-running lasers at Alice and Bobinduces a phase drift noise. This work proposes a novel minimaxfilter-based phase tracking that aims to minimize the phase driftconsidering maximum residual phase error to achieve optimalphase estimation. Simulation results show that the minimax filteroffers a lower phase estimation mean square error (MSE) valuecompared to the Kalman filter when worst-case phase drift errordue to high linewidth difference or high measurement noise valuesare considered.
M3 - Conference contribution
SP - 499
EP - 502
BT - 13th International Symposium on Communication Systems, Networks and Digital Signal Processing (CSNDSP)
ER -