利用张量分解的多天线长码直扩CDMA信号扩频码盲估计

赵知劲; 尹辉; 强芳芳; 尚俊娜

doi:10.11959/j.issn.1000-436x.2018212

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利用张量分解的多天线长码直扩CDMA信号扩频码盲估计

学术论文 | 更新时间：2024-06-05

- 利用张量分解的多天线长码直扩CDMA信号扩频码盲估计
- Blind estimation of spreading codes for multi-antenna LC-DS-CDMA signals based on tensor decomposition
- 通信学报 2018年39卷第10期页码：52-58
- 作者机构：
  
  杭州电子科技大学通信工程学院，浙江杭州 310018
- 作者简介：
  
  [ "赵知劲（1959-），女，浙江宁波人，博士，杭州电子科技大学教授、博士生导师，主要研究方向为通信信号处理、认知无线电、自适应信号处理等。" ]
  [ "尹辉（1993-），女，浙江湖州人，杭州电子科技大学硕士生，主要研究方向为信号处理。" ]
  [ "强芳芳（1992-），女，浙江桐乡人，杭州电子科技大学博士生，主要研究方向为通信信号处理。" ]
  [ "尚俊娜（1979-），女，河南开封人，博士，杭州电子科技大学副教授、硕士生导师，主要研究方向为导航定位与卫星通信、通信信号处理等。" ]
- 基金信息：
  
  国家自然科学基金资助项目(61571172)
- DOI：10.11959/j.issn.1000-436x.2018212
  中图分类号： TN911
- 网络出版日期：2018-10，
  
  纸质出版日期：2018-10-25
- 稿件说明：
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赵知劲, 尹辉, 强芳芳, 等. 利用张量分解的多天线长码直扩CDMA信号扩频码盲估计[J]. 通信学报, 2018,39(10):52-58.

Zhijin ZHAO, Hui YIN, Fangfang QIANG, et al. Blind estimation of spreading codes for multi-antenna LC-DS-CDMA signals based on tensor decomposition[J]. Journal on communications, 2018, 39(10): 52-58.
赵知劲, 尹辉, 强芳芳, 等. 利用张量分解的多天线长码直扩CDMA信号扩频码盲估计[J]. 通信学报, 2018,39(10):52-58. DOI： 10.11959/j.issn.1000-436x.2018212.

Zhijin ZHAO, Hui YIN, Fangfang QIANG, et al. Blind estimation of spreading codes for multi-antenna LC-DS-CDMA signals based on tensor decomposition[J]. Journal on communications, 2018, 39(10): 52-58. DOI： 10.11959/j.issn.1000-436x.2018212.

摘要

针对插补法效果不佳的多天线长码直扩 CDMA 信号扩频码盲估计问题，采用分段思想，将接收信号构建成的三阶张量按照扩频增益分块成等价于Tucker分解模型的子张量。然后对子张量利用变步长梯度下降算法进行Tucker分解得到扩频码片段和接收增益矩阵。根据子张量的接收增益矩阵相同的特点，利用各个子张量接收增益矩阵的互相关矩阵估计置换矩阵，去除扩频码片段排序模糊。最后利用扩频码的自相关性，去除扩频码片段的幅度模糊，得到每个用户扩频码。仿真结果验证了算法的有效性。

Abstract

Aiming at the problem of the poor performance of the imputation method for the spreading codes blind estimation of the multi-antenna long-code direct sequence code division multiple access (CDMA) signals.Firstly

using the segmentation idea

the received signals were constructed into a three-dimensional tensor model

and the tensor was divided into sub-tensors according to the spreading gain.The sub-tensors were constructed into the Tucker decomposition model.Secondly

the spreading code fragments and the receiver gain matrixes were obtained from the sub-tensors by Tucker decomposition which was using the variable step gradient descending algorithm.Then

because of the same characteristic of the receiver gain matrixes in each sub-tensor

the permutation matrixes were estimated by using the cross correlation matrixes of the receiver gain matrixes and the order of the spreading code fragments was corrected.Finally

the amplitude of the spreading codes was determined by using the autocorrelation of the spreading codes

and each user’s spreading code was obtained.The simulation results verify the effectiveness of the proposed algorithm.

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Keywords

references

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