基于叠加相关的双门限序列分选算法研究

Investigation of a Dual-Threshold Sequential Sorting Algorithm Based on Superposition Correlation

摘要: 为解决复合维度通信系统同步捕获算法复杂度高、硬件资源消耗大的问题，在深入分析复合维度通信系统同步捕获方式的基础上，提出一种基于叠加相关的双门限序列分选算法，该算法的核心机理是利用PN码优秀的互相关性，采用多序列伪码叠加相关处理的方式完成码同步过程，接着，通过部分码片相关处理对叠加序列中发射端所使用的PN码通道进行甄别。仿真结果表明，叠加相关的双门限序列分选算法可实现第一路及第二路数据恢复功能，且资源消耗和功耗均优于传统算法。

Abstract: To address the high complexity and large hardware resource consumption of synchronization acquisition algorithms in composite dimensional communication systems, this study conducts an in-depth analysis of synchronization acquisition methods. A dual-threshold sequence sorting algorithm based on superimposed correlation is proposed. The core mechanism of this algorithm utilizes the excellent cross-correlation properties of PN codes. It employs multi-sequence pseudo-code superimposed correlation processing to achieve code synchronization. Subsequently, partial chip correlation processing is used to identify the PN code channels employed at the transmitting end within the superimposed sequences. Simulation results show that the dual-threshold sequence sorting algorithm with superimposed correlation enables the recovery of both the first and second data streams. Moreover, it outperforms traditional algorithms in terms of resource consumption and power efficiency.