首页> 外文期刊>IEEE Transactions on Communications >Blind NLLS Carrier Frequency-Offset Estimation for QAM, PSK, and PAM Modulations: Performance at Low SNR
【24h】

Blind NLLS Carrier Frequency-Offset Estimation for QAM, PSK, and PAM Modulations: Performance at Low SNR

机译:QAM,PSK和PAM调制的盲NLLS载波频率偏移估计:低SNR时的性能

获取原文
获取原文并翻译 | 示例

摘要

We address the problem of blind carrier frequency-offset (CFO) estimation in quadrature amplitude modulation, phase-shift keying, and pulse amplitude modulation communications systems. We study the performance of a standard CFO estimate, which consists of first raising the received signal to the$M$th power, where$M$is an integer depending on the type and size of the symbol constellation, and then applying the nonlinear least squares (NLLS) estimation approach. At low signal-to noise ratio (SNR), the NLLS method fails to provide an accurate CFO estimate because of the presence of outliers. In this letter, we derive an approximate closed-form expression for the outlier probability. This enables us to predict the mean-square error (MSE) on CFO estimation for all SNR values. For a given SNR, the new results also give insight into the minimum number of samples required in the CFO estimation procedure, in order to ensure that the MSE on estimation is not significantly affected by the outliers.
机译:我们解决了正交幅度调制,相移键控和脉冲幅度调制通信系统中的盲载波频率偏移(CFO)估计问题。我们研究了标准CFO估计的性能,其中包括首先将接收信号提高到$ M $次方,其中$ M $是一个整数,具体取决于符号星座的类型和大小,然后应用非线性最小平方(NLLS)估算方法。在低信噪比(SNR)下,由于存在异常值,NLLS方法无法提供准确的CFO估计。在这封信中,我们得出了异常概率的近似闭合形式表达式。这使我们能够针对所有SNR值预测CFO估计的均方误差(MSE)。对于给定的SNR,新结果还可以洞悉CFO估计程序中所需的最少样本数,以确保估计的MSE不受异常值的影响。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号