基于张量分解和多项式库搜索的多天线NPLC-DS-CDMA伪码序列估计

张天骐; 喻盛琪; 张天; 葛宛营

doi:10.11999/JEIT190406

基于张量分解和多项式库搜索的多天线NPLC-DS-CDMA伪码序列估计

doi: 10.11999/JEIT190406

1.
重庆邮电大学通信与信息工程学院重庆 400065
2.
重庆邮电大学信号与信息处理重庆市重点实验室重庆 400065

基金项目: 国家自然科学基金(61671095, 61702065, 61701067, 61771085)，信号与信息处理重庆市市级重点实验室建设项目(CSTC2009CA2003)，重庆市研究生科研创新项目(CYS17219)，重庆市教育委员会科研项目(KJ1600427, KJ1600429)

详细信息

作者简介:
张天骐：男，1971年生，博士后，教授，博士生导师，主要研究方向为扩频信号盲处理，语音信号处理，神经网络实现以及信号同步处理

喻盛琪：男，1994年生，硕士生，研究方向为通信信号盲处理

张天：男，1994年生，硕士生，研究方向为语音信号处理

葛宛营：男，1994年生，硕士生，语音增强与盲分离

通讯作者:
喻盛琪　shengqi_yu@qq.com

中图分类号: TN911.7
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出版历程
- 收稿日期: 2019-06-05
- 修回日期: 2019-12-17
- 网络出版日期: 2020-07-17
- 刊出日期: 2020-10-13

Estimation of the Pseudo Noise Sequence for Multi-Antenna NPLC-DS-CDMA Signals Based on Tensor Decomposition and Polynomial Library Search

1.
School of Communication and Information Engineering, Chongqing University of Posts and Telecommunications, Chongqing 400065, China
2.
Chongqing Key Laboratory of Signal and Information Processing, Chongqing University of Posts and Telecommunications, Chongqing 400065, China

Funds: The National Natural Science Foundation of China (61671095, 61702065, 61701067, 61771085), The Project of Key Laboratory of Signal and Information Processing of Chongqing (CSTC2009CA2003), The Chongqing Graduate Research and Innovation Project (CYS17219), The Research Project of Chongqing Educational Commission (KJ1600427, KJ1600429)

摘要

摘要: 针对低信噪比下非周期长码直接序列码分多址(NPLC-DS-CDMA)信号伪码序列估计问题，该文提出一种基于张量分解和多项式库搜索的多天线估计方法。该方法首先对接收信号建模为3阶张量模型并根据扩频增益分割为多个子张量，然后利用交替最小二乘投影(ALSP)算法对子张量进行CP分解得到伪码片段因子矩阵和接收增益因子矩阵，利用接收增益矩阵互相关性和旁瓣能量检测对伪码片段组合序列筛选得到每个用户的伪码序列，最后利用多项式库搜索的方法识别出伪码序列的生成多项式，进一步提高伪码序列估计的正确率。仿真结果表明，所提方法能够实现对NPLC-DS-CDMA信号伪码序列的有效估计。
- 直接序列码分多址 /
- 伪码序列 /
- 张量分解 /
- 交替最小二乘投影算法 /
- 多项式库搜索
Abstract: To deal with the problem of estimation of the pseudo noise sequence for Non-Periodic Long Code Direct Sequence Code Division Multiple Access (NPLC-DS-CDMA) signals under low signal-to-noise ratio, a method using multi-antenna based on tensor decomposition and polynomial library search is proposed. Firstly, the received signals are modeled as a third-order tensor model and the tensor is divided into multiple sub-tensors according to the spreading gain. Secondly, the pseudo noise code fragment factor matrixs and the receiver gain factor matrixs are obtained from the sub-tensors by Canonical Polyadic (CP) decomposition which uses the Alternating Least Squares Projection (ALSP) algorithm, and then the pseudo noise sequence of each user is obtained by selecting pseudo noise code fragment combination sequence according to the cross-correlation of the receiver gain factor matrixs and sidelobe energy detection. Finally, the polynomial library search method is applied to identifying the generator polynomial of the pseudo noise sequence in order to further improve the accuracy of the pseudo code sequence estimation. The simulation results show that the proposed method can effectively estimate the pseudo noise sequence of the multi-antenna NPLC-DS-CDMA signals.
- Direct Sequence Code Division Multiple Access (DS-CDMA) /
- Pseudo noise sequence /
- Tensor decomposition /
- Alternating Least Squares Projection (ALSP) algorithm /
- Polynomial library search

HTML全文

图 1 同步NPLC-DS-CDMA信号多天线接收模型

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图 2 3阶张量示意图

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图 3 张量CP分解示意图

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图 4 K=6下不同用户数的伪码序列估计性能

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图 5 K=10下不同用户数的伪码序列估计性能

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图 6 不同L和G下的伪码序列估计性能

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图 7 本文算法同文献[5]和文献[9]算法性能对比

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图 8 多项式库搜索对伪码序列估计性能提升

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图 9 本文算法同文献[9]算法迭代次数对比

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