基于改进K-S检测的STBC-OFDM信号盲识别算法研究

凌青; 张立民; 闫文君

doi:10.11959/j.issn.1000-436x.2017082

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基于改进K-S检测的STBC-OFDM信号盲识别算法研究

学术论文 | 更新时间：2024-06-05

- 基于改进K-S检测的STBC-OFDM信号盲识别算法研究
- Blind recognition of STBC-OFDM signals based on modified K-S test
- 通信学报 2017年38卷第4期页码：46-54
- 作者机构：
  
  海军航空工程学院信息融合所，山东烟台 264001
- 作者简介：
  
  [ "凌青（1987-），女，湖南衡阳人，博士，海军航空工程学院讲师，主要研究方向为通信信号处理和空时分组码技术。" ]
  [ "张立民（1966-），男，辽宁开原人，博士，海军航空工程学院教授、博士生导师，主要研究方向为通信信号处理和电子技术仿真。" ]
  [ "闫文君（1986-），男，山东莱州人，博士，海军航空工程学院讲师，主要研究方向为通信信号处理和计算机仿真。" ]
- 基金信息：
  
  泰山学者工程专项基金资助(ts201511020)
- DOI：10.11959/j.issn.1000-436x.2017082
  中图分类号： TN911.7
- 网络首发：2017-04，
  
  纸质出版：2017-04-25
- 稿件说明：
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凌青, 张立民, 闫文君. 基于改进K-S检测的STBC-OFDM信号盲识别算法研究[J]. 通信学报, 2017,38(4):46-54.

Qing LING, Li-min ZHANG, Wen-jun YAN. Blind recognition of STBC-OFDM signals based on modified K-S test[J]. Journal on Communications, 2017, 38(4): 46-54.
凌青, 张立民, 闫文君. 基于改进K-S检测的STBC-OFDM信号盲识别算法研究[J]. 通信学报, 2017,38(4):46-54. DOI： 10.11959/j.issn.1000-436x.2017082.

Qing LING, Li-min ZHANG, Wen-jun YAN. Blind recognition of STBC-OFDM signals based on modified K-S test[J]. Journal on Communications, 2017, 38(4): 46-54. DOI： 10.11959/j.issn.1000-436x.2017082.

摘要

针对多输入单输出（MISO

multiple input single output）通信系统的STBC-OFDM信号盲识别问题，提出基于OFDM块的改进Kolmogorov-Smirnov (K-S)检测方法。该方法首先对MISO通信系统的STBC-OFDM信号建模；然后利用STBC-OFDM信号编码矩阵的相关性，构造不同时延向量下STBC-OFDM接收信号OFDM块的经验函数作为特征函数；最后通过改进K-S检测方法检验经验分布函数之间的距离盲识别STBC-OFDM信号。该方法不需要噪声信息、调制信息和信道系数，适合非合作通信场合。理论分析和实验验证了该方法的可行性。

Abstract

Aiming at the problem that existed blind classification of STBC-OFDM in multiple input single output (MISO) communication system

an efficient method for blind classification of space-time block coded orthogonal frequency-division multiplexing (STBC-OFDM) signals based on modified Kolmogorov-Smirnov (K-S) test was proposed

when a single receiver antenna was employed at the receiver.Firstly

the model of received STBC-OFDM signals in MISO systems was given.Secondly

with the correlation of the coding matrix of STBC-OFDM signals

and the discrimination features function provided by the empirical cumulative distribution (CDFs) of the received OFDM blocks was constructed.Finally

the distance between CDFs was tested by the two-sample K-S test

which could blindly classify the STBC-OFDM signals.The proposed algorithm didn't need the estimation of channel

noise statistics and modulation type

and consequently

was well suited for non-cooperative communication context.Theoretical analysis and experimental verify its validity.

关键词

Keywords

references

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