系统工程与电子技术 ›› 2025, Vol. 47 ›› Issue (7): 2399-2405.doi: 10.12305/j.issn.1001-506X.2025.07.32

• 通信与网络 • 上一篇    

基于NIC与Givens旋转的DS-CDMA信号伪码估计

张天骐, 吴仙越, 李春运, 唐娟   

  1. 重庆邮电大学通信与信息工程学院, 重庆 400065
  • 收稿日期:2024-08-05 出版日期:2025-07-16 发布日期:2025-07-22
  • 通讯作者: 吴仙越
  • 作者简介:张天骐 (1971—), 男, 教授, 博士研究生导师, 博士, 主要研究方向为通信信号的调制解调、盲处理、语音信号处理、神经网络实现、现场可编程逻辑门阵列、超大规模集成实现
    吴仙越 (2000—), 女, 硕士研究生, 主要研究方向为扩频信号盲估计
    李春运 (2000—), 男, 硕士研究生, 主要研究方向为信道编码参数盲识别
    唐娟 (2000—), 女, 硕士研究生, 主要研究方向为卫星扩频信号捕获
  • 基金资助:
    重庆市自然基金(cstc2021jcyj-msxmX0836)

Pseudo-code estimation of DS-CDMA signals based on NIC and Givens rotation

Tianqi ZHANG, Xianyue WU, Chunyun LI, Juan TANG   

  1. School of Communications and Information Engineering, Chongqing University of Postsand Telecommunications, Chongqing 400065, China
  • Received:2024-08-05 Online:2025-07-16 Published:2025-07-22
  • Contact: Xianyue WU

摘要:

针对直接扩频序列码分多址(direct sequence code division multiple access, DS-CDMA)信号伪码估计问题, 在已知DS-CDMA信号参数的条件下, 提出一种基于新信息准则(novel information criterion, NIC)与Givens旋转的多伪码盲估计方法。该方法通过对观测数据按照一倍的伪码周期进行不重叠分段构造数据矩阵。利用NIC获得数据矩阵主子空间, 并利用Givens旋转提取信号主成分, 再通过梅西算法恢复多用户生成多项式, 从而实现多用户伪码盲估计。仿真实验表明, 该算法较特征值分解算法抗噪性能提高了3 dB, 且在信号数据量较少时也能实现较优估计。

关键词: 直接扩频序列码分多址, 伪码估计, 主子空间分析, Givens旋转, 梅西算法

Abstract:

In addressing the issue of pseudo-code estimation for direct sequence code division multiple access (DS-CDMA) signals, an estimation method based on novel information criterion (NIC) and Givens rotation, is proposed, under the assumption of known DS-CDMA signal parameters. This method constructs a data matrix by segmenting the observed data into non-overlapping segments, corresponding to one pseudo-code period. The NIC is employed to identify the principal subspace within the data matrix, while Givens rotation is used to extract the signal principal components. Finally, the Massey algorithm is used to recover the multi-user generating polynomials. Simulation experiments demonstrate that the algorithm provides a 3 dB improvement in noise robustness compared to eigenvalue decomposition. It also maintains high estimation accuracy, even with limited signal data volume.

Key words: direct sequence code division multiple access (DS-CDMA), pseudo-code estimation, principal subspace analysis, Givens rotation, Massey algorithm

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