带残余频偏的软扩频信号伪码序列盲估计
Blind estimation of pseudo-code sequence of soft spread spectrum signal with residual frequency offset
张天骐 1张慧芝 1罗庆予 1方蓉1
作者信息
- 1. 重庆邮电大学通信与信息工程学院,重庆 400065
- 折叠
摘要
针对带残余频偏的软扩频信号伪码序列盲估计难的问题,提出一种奇异值分解(singular value de-composition,SVD)结合全数字锁相环(digital phase locked loop,DPLL)的方法.所提方法首先对待处理信号通过不重叠分段生成数据矩阵,每段信号长度为一倍伪码周期;然后利用其自相关矩阵的右上角元素估计失步点进行同步,并且在重新计算自相关矩阵后根据较大特征值个数估计进制数;最后通过多次快速SVD算法结合DPLL最终实现伪码序列的盲估计.仿真结果显示,所提方法在低信噪比条件下可以有效估计出带残余频偏的软扩频信号的伪码序列,并且性能优于其他对比方法.
Abstract
Aiming at the difficulty of blind estimation of pseudo-code sequence of soft spread spectrum signals with residual frequency offset,a singular value decomposition(SVD)combined with digital phase locked loop(DPLL)method is proposed.The data matrix is generated through non-overlapping segments of the signal to be processed,and the length of each segment is a single pseudo-code period.Then,the element in the upper right corner of the autocorrelation matrix is used to estimate the out-of-step point for synchronization,and the autocorrelation matrix is recalculated to estimate the base number according to the number of large eigenvalues.Finally,the blind estimation of pseudo-code sequence is finally realized by combining multiple fast SVD algorithms with DPLL.The simulation results show that the proposed method can effectively estimate the pseudo-code sequence of the soft spread spectrum signal with residual frequency offset under low signal-to-noise ratio(SNR),and the performance of the proposed method is better than that of other comparative methods.
关键词
软扩频信号/盲估计/残余频偏/奇异值分解/全数字锁相环Key words
soft spread spectrum signal/blind estimation/residual frequency offset/singular value decomposition(SVD)/digital phase locked loop(DPLL)引用本文复制引用
基金项目
国家自然科学基金(61671095)
国家自然科学基金(61702065)
国家自然科学基金(61701067)
国家自然科学基金(61771085)
信号与信号处理重庆市市级重点实验室建设项目(CSTC2009CA2003)
重庆市自然科学基金(cstc2021jcyjmsxmX0836)
重庆市教育委员会科研项目(KJ1600427)
重庆市教育委员会科研项目(KJ1600429)
出版年
2024
NETL
NSTL
万方数据