Blind SNR estimation based on cyclostationarity

HUA Meng; ZHU Jin-kang; GONG Ming

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Blind SNR estimation based on cyclostationarity

更新时间：2024-10-14

- Blind SNR estimation based on cyclostationarity
- Issue 9, Pages: 6-13(2006)
- 作者机构：
  
  1. 中国科学技术大学个人通信与扩频实验室
  2. 中国科学技术大学个人通信与扩频实验室,安徽,合肥,230027
- 作者简介：
- 基金信息：
- DOI：
  CLC： TN911.23
- Published：2006
- 稿件说明：
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HUA Meng, ZHU Jin-kang, GONG Ming. Blind SNR estimation based on cyclostationarity[J]. 2006, (9): 6-13.
DOI：

HUA Meng, ZHU Jin-kang, GONG Ming. Blind SNR estimation based on cyclostationarity[J]. 2006, (9): 6-13. DOI：

摘要

过采样和成型滤波引入了信号的周期平稳性。基于对信号的周期平稳统计量的分析

提出了一种高斯白噪声信道下的盲信噪比估计方法。对信号的调制方式没有要求

也不需要发送端发送已知数据。蒙特卡罗仿真结果证明

在较宽的信噪比范围内

该方法的性能优于二阶四阶矩方法(M2M4)、信号方差比(SVR)方法等其他经典的盲信噪比估计方法。分析了估计的克拉美-罗下界

作为估计的绝对性能的参照。

Abstract

Upsampling and shaping filtering introduce the cyclostationarity of transmit signals. Based on the cyclosta-tionary statistics of signals

a blind SNR estimator in AWGN channel was proposed. This estimator had no restrict on modulation mode and no need for transmitter to transmit known data. Simulation results show this estimator yields better performance than other classic blind SNR estimators

such as M2M4 and SVR estimators in a large SNR domain. Also

in order to show the absolute levels of performance

the simulated performance was compared to a Cramer-Rao lower bound.

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