一种α稳定分布噪声下OFDM信号调制识别与参数估计算法

doi:10.3969/j.issn.0372-2112.2018.06.017

电子学报 ›› 2018, Vol. 46 ›› Issue (6): 1390-1396.DOI: 10.3969/j.issn.0372-2112.2018.06.017

一种α稳定分布噪声下OFDM信号调制识别与参数估计算法

张俊林¹, 王彬¹, 汪洋¹, 刘明骞²

1. 解放军信息工程大学信息系统工程学院, 河南郑州 450001;
2. 西安电子科技大学综合业务网理论及关键技术国家重点实验室, 陕西西安 710071

收稿日期:2017-03-20 修回日期:2017-08-03 出版日期:2018-06-25
- 通讯作者:
- 王彬
- 作者简介:
- 张俊林,男,1990年生于甘肃临夏.现为解放军信息工程大学硕士研究生.主要研究方向为通信信号处理.E-mail:junlinzhang_com@163.com;汪洋,男,1979年生于安徽宿州.现为解放军信息工程大学副教授、硕士生导师.主要研究方向为通信信号处理、软件无线电技术.E-mail:wywy79@163.com;刘明骞,男,1982年生于河南平顶山.现为西安电子科技大学讲师、硕士生导师.主要研究方向研究方向为通信信号处理、通信对抗、数字通信.E-mail:mqliu@mail.xidian.edu.cn

An Algorithm for Recognition and Parameters Estimation of OFDM in Alpha Stable Distribution Noise

ZHANG Jun-lin¹, WANG Bin¹, WANG Yang¹, LIU Ming-qian²

1. School of Information Systems Engineering, PLA Information Engineering University, Zhengzhou, Henan 450001, China;
2. State Key Laboratory of Integrated Service Networks, Xidian University, Xi'an, Shaanxi 710071, China

Received:2017-03-20 Revised:2017-08-03 Online:2018-06-25 Published:2018-06-25
- Corresponding author:
- WANG Bin

摘要/Abstract

摘要： 正交频分复用（OFDM，Orthogonal Frequency Division Multiple）信号的调制识别与参数估计是非协作通信领域的重要研究内容.为了解决α稳定分布噪声下OFDM信号调制识别与参数估计困难的问题，提出一种广义循环平稳的盲处理算法.该算法首先对接收信号进行非线性变换，推导出接收信号的广义循环自相关函数表达式，分析了单载波调制信号与OFDM信号的广义循环自相关函数特性，并给出了OFDM信号的广义循环自相关函数与待估参数之间的关系.然后，基于分析结论，利用广义循环自相关函数构造调制识别特征完成OFDM信号与单载波信号的调制方式自动分类；最后，针对OFDM信号的调制参数估计问题，提出了一种基于广义循环自相关函数的调制参数估计算法.理论分析与仿真结果表明，在α稳定分布噪声环境下，该算法可以有效实现OFDM信号调制识别与参数估计，且算法不依赖接收信号的先验信息，可以直接对中频接收信号进行处理.

关键词: OFDM, α稳定分布, 调制识别, 参数估计, 广义循环平稳

Abstract: Automatic modulation recognition and parameter identification of orthogonal frequency division multiplexing (OFDM) play a vital role in the field of non-cooperative communication applications.A blind recognition and parameter identification called generalized cyclostationarity algorithm is proposed for OFDM in alpha stable distribution noise.Firstly,the received signal is mapped by nonlinear transformation,the analytical expressions for the generalized cyclic autocorrelation function are derived,and the generalized cyclostationarity characteristics of single carrier linear digital (SCLD) modulations and OFDM are investigated.Then,the recognition feature is structured based on generalized cyclic autocorrelation function to recognize OFDM versus SCLD signals.Finally,for the problem of blind parameter identification for OFDM,an algorithm based on generalized cyclic autocorrelation function is presented.Theoretical analysis and simulation results demonstrate the effectiveness of the proposed algorithm in alpha stable distribution noise.Furthermore,this algorithm obviates the need for signal preprocessing tasks,such as symbol timing estimation,carrier and waveform recovery.

Key words: orthogonal frequency division multiplexing (OFDM), alpha stable distribution, modulation recognition, blind parameter estimation, generalized cyclostationarity

中图分类号:

TN911.7

张俊林, 王彬, 汪洋, 等. 一种α稳定分布噪声下OFDM信号调制识别与参数估计算法[J]. 电子学报, 2018, 46(6): 1390-1396.

ZHANG Jun-lin, WANG Bin, WANG Yang, et al. An Algorithm for Recognition and Parameters Estimation of OFDM in Alpha Stable Distribution Noise[J]. Acta Electronica Sinica, 2018, 46(6): 1390-1396.

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一种α稳定分布噪声下OFDM信号调制识别与参数估计算法

An Algorithm for Recognition and Parameters Estimation of OFDM in Alpha Stable Distribution Noise

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