多小区大规模阵列天线系统盲解码算法

严斌彬; 沈雷; 姜显扬; 韩煜

doi:10.11959/j.issn.1000-0801.2016199

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多小区大规模阵列天线系统盲解码算法

研究与开发 | 更新时间：2024-06-05

- 多小区大规模阵列天线系统盲解码算法
- Blind decoding method for a multi-cell massive antenna array system
- 电信科学 2016年32卷第8期页码：118-123
- 作者机构：
  
  1. 杭州电子科技大学通信工程学院，浙江杭州 310018
  2. 中国电子科技集团公司第36研究所通信系统信息控制技术国家级重点实验室，浙江嘉兴 314001
- 作者简介：
  
  [ "严斌彬（1991-），男，杭州电子科技大学硕士生，主要研究方向为大规模天线系统。" ]
  [ "沈雷（1979-），男，博士，杭州电子科技大学副教授，主要研究方向为大规模天线系统、信号盲分离、信号检测、认知无线电频谱检测、通信信号盲分离、通信抗干扰和高动态GPS接收机。" ]
  [ "姜显扬（1971-），男，博士，杭州电子科技大学讲师，主要研究方向为信号处理。" ]
  [ "韩煜（1978-），男，中国电子科技集团公司第36研究所通信系统信息控制技术国家级重点实验室副研究员，主要研究方向为自适应信号处理、通信与语音信号处理。" ]
- 基金信息：
  
  国家自然科学基金资助项目;The National Natural Science Foundation of China(61401133);中国博士后科学基金资助项目;China Postdoctoral Science Foundation(2014M562302);浙江省自然科学基金资助项目;The Natural Science Foundation of Zhejiang Province of China(LY14F01018)
- DOI：10.11959/j.issn.1000-0801.2016199
  中图分类号： TN91
- 网络出版日期：2016-08，
  
  纸质出版日期：2016-08-20
- 稿件说明：
移动端阅览
严斌彬, 沈雷, 姜显扬, 等. 多小区大规模阵列天线系统盲解码算法[J]. 电信科学, 2016,32(8):118-123.

Binbin YAN, Lei SHEN, Xianyang JIANG, et al. Blind decoding method for a multi-cell massive antenna array system[J]. Telecommunications science, 2016, 32(8): 118-123.
严斌彬, 沈雷, 姜显扬, 等. 多小区大规模阵列天线系统盲解码算法[J]. 电信科学, 2016,32(8):118-123. DOI： 10.11959/j.issn.1000-0801.2016199.

Binbin YAN, Lei SHEN, Xianyang JIANG, et al. Blind decoding method for a multi-cell massive antenna array system[J]. Telecommunications science, 2016, 32(8): 118-123. DOI： 10.11959/j.issn.1000-0801.2016199.

摘要

针对多小区大规模阵列天线系统中干扰小区的导频复用造成的导频污染和解码性能下降问题，提出了基于ICA（独立分量分析）盲解码算法。所提盲解码算法，利用ICA法对接收多小区用户信号进行分离解码，不需要发射导频序列，避免了导频污染，提高了解码性能。所提盲解码算法在解码过程中同时估计各个用户波达方向，利用波达方向信息克服ICA方法分离顺序的不确定性，识别期望用户的信号。理论分析和仿真结果表明，所提盲解码方法比广泛应用的MMSE解码算法和最近提出的基于特征值的盲解码方法具有更好的性能。

Abstract

In order to overcome the pilot contamination and reduction of decoding performance resulted by neighbouring cell pilot sequences reuse in multi-cell massive array MIMO system，a blind decoding method based on ICA was proposed.The proposed blind decoding method used ICA to separate the received signals of multi-cell users without using pilot sequences.Thus，pilot contamination was avoided and decoding performance would be optimized.Every user’s angle-of-arrival（AOA）was estimated for recognizing the desired user signals and overcoming the uncertainty of signals separated by ICA.The analytical performance and numerical results show that the proposed method has a better performance compared to MMSE decoding and blind decoding method based on singular value decomposition（SVD）.

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references

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