In the satellite-ground quantum key distribution network with power IoT, due to the imperfection of the quantum equipment and the noise in the channel, the raw key will have some bit error rate and cannot be used for secure communications. To solve this problem, we propose an improved data reconciliation model based on Turbo for satellite-ground quantum key distribution to extract the raw key, and then the key on both sides of communication are identical. We carry on the optimization and simulation to Turbo and increases its error correction efficiency by 15%. To test and verify the feasibility of the model, we implement satellite-ground quantum key distribution simulation experiments and respectively use the low-density parity check (LDPC), Cascade, and Turbo for data reconciliation. Experimental results show that Turbo can make the final key generation increased by 8% comparing with LDPC and Cascade.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.