基于相干分解的低复杂度同步检测算法

Low complexity synchronization detection algorithm based on coherent decomposition

针对5G下行同步系统高复杂度的联合检测问题,提出了一种低复杂度的相干两步检测算法。首先,在整数频率偏移(IFO)的检测阶段,采用相干累积技术处理信号的相位信息,通过分析累积相位差分估计IFO值。接着,为了避免在确定扇区身份时所带来的高复杂度,采用了基于符号误差的启发式算法,通过比较接收信号与每个扇区信号复数值之间的差异,选择符号误差最小的扇区作为最终结果。仿真结果表明,与传统联合检测算法相比,该算法能够有效降低计算复杂度,满足5G系统对定时同步的要求。

Due to the high complexity of joint detection problem caused by 5G downward synchronization system,this paper proposed a two-step detection algorithm with low complexity.Firstly,it adopted coherent accumulation technology to process the phase information of the signal in the detection stage of integer frequency offset(IFO)and estimated the IFO value is estimated by analyzing the cumulative phase difference.Then,it employed a heuristic algorithm based on symbol error to avoid the high complexity brought about by determining sector identity.By comparing the difference between the received signal and the complex value of each sector signal,it selected the sector with the smallest symbol error as the result.Simulation results show that compared with the traditional joint detection algorithm,this algorithm can effectively reduce the computational complexity and meet the requirements of 5G system for timing synchronization.