摘要
提出了一种基于最优逼近准则的扩频码盲估计算法。首先全面分析DSSS信号的长码和短码扩频模型,针对传统估计方法进行改进,实现了特征矩阵维数的化简处理,并设计了一种新的扩频码相关性度量函数作为最优估计器,从而成功估计出原始扩频码序列,并分析完成了盲同步的步骤。该算法具有合理的运算复杂度,且不需先验知识。最后,通过计算机仿真验证了该算法的有效性,且该算法性能优于过去的方法。
A blind estimation algorithm for spread-spectrum code based on near-optimal criterion is proposed.Firstly,the long code and short code spread-spectrum models of DSSS signal are analyzed.In order to improve the traditional estimation method,the dimension of feature matrix is simplified.Then,a new correlation measure function of spread-spectrum code is designed as the best estimator,thus to successfully estimate the original spread-spectrum sequence.Then,the steps of blind synchronization are analyzed.This algorithm has reasonable computational complexity and requires no prior knowledge.Finally,the computer simulation indicates the effectiveness of this algorithm,and that this algorithm performs much better than the traditional methods.
出处
《通信技术》
2017年第10期2190-2194,共5页
Communications Technology
