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

doi:10.3969/j.issn.0372-2112.2018.06.017

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

更新时间：2025-07-08

- An Algorithm for Recognition and Parameters Estimation of OFDM in Alpha Stable Distribution Noise
- Acta Electronica Sinica Vol. 46, Issue 6, Pages: 1390-1396(2018)
- 作者机构：
  
  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
  3. 解放军信息工程大学信息系统工程学院,河南,郑州,450001
  4. 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
- 作者简介：
- 基金信息：
- DOI：10.3969/j.issn.0372-2112.2018.06.017
  CLC： TN911.7
- Published Online：25 June 2018，
  
  Published：2018
- 稿件说明：
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An Algorithm for Recognition and Parameters Estimation of OFDM in Alpha Stable Distribution Noise[J]. Acta Electronica Sinica, 2018, 46(6): 1390-1396.
DOI：

An Algorithm for Recognition and Parameters Estimation of OFDM in Alpha Stable Distribution Noise[J]. Acta Electronica Sinica, 2018, 46(6): 1390-1396. DOI： 10.3969/j.issn.0372-2112.2018.06.017.

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

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

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.

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.

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