An Enhanced Synchronization Algorithm Based on Multi-Differential Cross-correlation for Burst Signal

Synchronization is a critical step in burst communication. However, existing methods often perform inadequately under conditions where low signal-to-noise ratio (SNR) and highly dynamic scenarios coexist. To address this issue, this paper proposes an enhanced synchronization algorithm, demonstrating that the joint estimation of multi-branch differential cross-correlation values can significantly improve the SNR of the communication system. Based on this finding, the received signal is initially processed differentially to mitigate the impact of frequency offset. Subsequently, multiple branch paths with varying delay period differentials are generated. The differential sequences are then computed through cross-correlation, and a comprehensive analysis of all cross-correlation values is conducted to enhance the algorithm’s performance. Both theoretical analysis and simulation results indicate that the proposed algorithm effectively improves SNR, and enhance the burst signal synchronization performance.