Blind SNR Estimation of Time-Frequency Overlapped OFDM Signals for Underlay Cognitive Radio Networks

doi:10.3969/j.issn.0372-2112.2018.06.034

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Blind SNR Estimation of Time-Frequency Overlapped OFDM Signals for Underlay Cognitive Radio Networks

更新时间：2025-07-08

- Blind SNR Estimation of Time-Frequency Overlapped OFDM Signals for Underlay Cognitive Radio Networks
- Acta Electronica Sinica Vol. 46, Issue 6, Pages: 1510-1514(2018)
- 作者机构：
  
  1. 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
  2. 南京理工大学电子工程与光电技术学院,江苏,南京,210094
  3. 徐州雷奥医疗设备有限公司,江苏,徐州,221116
  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
  5. 南京理工大学电子工程与光电技术学院,江苏,南京,210094
  6. 徐州雷奥医疗设备有限公司,江苏,徐州,221116
- 作者简介：
- 基金信息：
- DOI：10.3969/j.issn.0372-2112.2018.06.034
  CLC： TN911.7
- Published Online：25 June 2018，
  
  Published：2018
- 稿件说明：
移动端阅览
Blind SNR Estimation of Time-Frequency Overlapped OFDM Signals for Underlay Cognitive Radio Networks[J]. Acta Electronica Sinica, 2018, 46(6): 1510-1514.
DOI：

Blind SNR Estimation of Time-Frequency Overlapped OFDM Signals for Underlay Cognitive Radio Networks[J]. Acta Electronica Sinica, 2018, 46(6): 1510-1514. DOI： 10.3969/j.issn.0372-2112.2018.06.034.

摘要

针对underlay认知无线电中时频重叠正交频分复用（Orthogonal Frequency Division Multiplexing，OFDM）信号的信噪比（Signal to Noise Ratio，SNR）难以估计的问题，提出了一种基于循环自相关特性的时频重叠OFDM信噪比盲估计方法.该方法提取接收信号的循环自相关函数截面中的离散谱线估计出分量信号的总功率，并结合时延和循环频率均为零时的离散谱线估计出时频重叠OFDM信号的信噪比.仿真结果表明，在无需先验信息的情况下，当SNR大于-7dB时，所提方法估计的均方误差小于0.1，并且对分量信号的功率比和频谱重叠率具有稳健性.

Abstract

In this paper

we propose one cyclic autocorrelation function (CAF) based method to implement the blind signal-to-noise (SNR) estimation over the underlay cognitive radio networks.The orthogonal frequency division multiplexing (OFDM) is adopted here.This SNR estimator utilizes the discrete spectrum of the CAF for the received signals

whose time delay and cyclic frequency are zero.Numerical results show that the proposed method is robust to the power ratio and spectral overlapping of the composite signal without prior information.Moreover

when the SNR is greater than -7dB

the mean square error (MSE) for the SNR estimation is less than 0.1.

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