| 基于周期平稳的盲信噪比估计方法 |
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| 引用本文： | 花 梦,朱近康,龚 明.基于周期平稳的盲信噪比估计方法[J].通信学报,2006,27(9):6-13. |
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| 作者姓名： | 花 梦 朱近康 龚 明 |
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| 作者单位： | 中国科学技术大学,个人通信与扩频实验室,安徽,合肥,230027 |
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| 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。
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| 关 键 词： | 信噪比估计 周期平稳 克拉美-罗下界 |
| 文章编号： | 1000-436X（2006）09-0006-08 |
| 收稿时间： | 2006-03-13 |
| 修稿时间： | 2006-03-132006-06-10 |
Blind SNR estimation based on cyclostationarity |
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| HUA Meng,ZHU Jin-kang,GONG Ming.Blind SNR estimation based on cyclostationarity[J].Journal on Communications,2006,27(9):6-13. |
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| Authors: | HUA Meng ZHU Jin-kang GONG Ming |
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| Abstract: | Upsampling and shaping filtering introduce the cyclostationarity of transmit signals. Based on the cyclostationary 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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| Keywords: | SNR estimation cyclostationarity Cramer-Rao lower bound |
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