带残余频偏的软扩频信号伪码序列盲估计
TN911.7; 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...
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| Published in | 系统工程与电子技术 Vol. 46; no. 10; pp. 3586 - 3593 |
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| Main Authors | , , , |
| Format | Journal Article |
| Language | Chinese |
| Published |
重庆邮电大学通信与信息工程学院,重庆 400065
01.10.2024
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| Subjects | |
| Online Access | Get full text |
| ISSN | 1001-506X |
| DOI | 10.12305/j.issn.1001-506X.2024.10.35 |
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| Abstract | TN911.7; 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. |
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| AbstractList | TN911.7; 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_FL | 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. |
| Author | 罗庆予 方蓉 张天骐 张慧芝 |
| AuthorAffiliation | 重庆邮电大学通信与信息工程学院,重庆 400065 |
| AuthorAffiliation_xml | – name: 重庆邮电大学通信与信息工程学院,重庆 400065 |
| Author_FL | FANG Rong LUO Qingyu ZHANG Tianqi ZHANG Huizhi |
| Author_FL_xml | – sequence: 1 fullname: ZHANG Tianqi – sequence: 2 fullname: ZHANG Huizhi – sequence: 3 fullname: LUO Qingyu – sequence: 4 fullname: FANG Rong |
| Author_xml | – sequence: 1 fullname: 张天骐 – sequence: 2 fullname: 张慧芝 – sequence: 3 fullname: 罗庆予 – sequence: 4 fullname: 方蓉 |
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| ClassificationCodes | TN911.7 |
| ContentType | Journal Article |
| Copyright | Copyright © Wanfang Data Co. Ltd. All Rights Reserved. |
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| DOI | 10.12305/j.issn.1001-506X.2024.10.35 |
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| DocumentTitle_FL | Blind estimation of pseudo-code sequence of soft spread spectrum signal with residual frequency offset |
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| Keywords | 奇异值分解 残余频偏 blind estimation singular value decomposition(SVD) residual frequency offset soft spread spectrum signal digital phase locked loop(DPLL) 盲估计 软扩频信号 全数字锁相环 |
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| Snippet | TN911.7; 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)... |
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| Title | 带残余频偏的软扩频信号伪码序列盲估计 |
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