Problem
Research questions and friction points this paper is trying to address.
Satellite-based FSO
QKD Systems
Quantum Bit-Error Rate (QBER)
Key Reconciliation
Channel Uncertainty
Key Reconciliation with RC-LDPC/Error Estimation for Satellite-based FSO/QKD Systems
🤖 AI Summary
该研究针对卫星FSO/QKD系统中因天气和卫星移动导致的QBER波动问题，提出了一种结合RC-LDPC码与基于综合症的错误估计方法的密钥协调方案。
📝 Abstract
Satellite-based free-space optics (FSO) quantum key distribution (QKD) systems have recently attracted significant research interest due to their potential to enable globally secured applications. However, the inherent uncertainty of FSO channels, caused by weather conditions and satellite mobility, induces severe fluctuations in quantum bit-error rate (QBER) between legitimate users. This makes designing an efficient key reconciliation, an essential step in the QKD post-processing, particularly challenging. In this work, we propose a key reconciliation scheme that combines protograph rate-compatible (RC) low-density parity-check (LDPC) codes with a syndrome-based error estimation method. The proposed error estimation method reduces the number of communication rounds without requiring additional information disclosure. Furthermore, to our best knowledge, an analytical framework is first developed to evaluate end-to-end secret-key throughput (SKT), accounting for the impact of imperfect error estimation and dynamic FSO channel conditions. Numerical results demonstrate that the proposed scheme consistently outperforms conventional blind reconciliation under diverse FSO channel conditions and provide practical guidelines for system parameter selection. Finally, we validate the proposed framework through a case study that incorporates data from a Starlink low-Earth orbit (LEO) satellite and moving ground vehicles.
Innovation
Methods, ideas, or system contributions that make the work stand out.
Rate-Compatible LDPC Codes
Syndrome-based Error Estimation
Secret-Key Throughput Analysis
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