一种基于M2M4算法的QPSK信噪比估计
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摘要
在通信中根据信号信噪比情况实时进行功率控制能有效提高功率效率并保证通信质量。针对卫星通信信噪比估计问题,研究了一种基于M2M4算法的QPSK信号信噪比估计算法,并对此算法进行了推导简化,同时用查找表法来代替信噪比计算的最复杂部分,从而大大降低了计算复杂度。对简化的算法进行Matlab仿真,结果表明简化的算法在损失较小估计精度的前提下可以有效估计0~20 d B的信噪比。讨论了成形系数和频偏大小对估计精度的影响,并给出了工程实现中成形系数大小的选择和大频偏情况下的处理建议。
Controlling signal power in real time based on SNR can increase power efficiency and obtain good communication quality.This paper deals with SNR estimation in satellite communications,and presents an SNR estimation method based on M2M4 algorithm for QPSK signals.The formula is derived and simplified,then a look-up-table method is applied to replace the most complex part of the formula. The look-up-table method can greatly reduce calculating complexities,besides,the method can obtain a SNR estimation range from 0 d B to 20 d B at the cost of a little precision.In the last part,a discussion on influence of shaping-coefficient and frequency bias is given,meanwhile,some suggestions are provided on choice of shaping-coefficient and how to process big frequency bias in the actual application.
Controlling signal power in real time based on SNR can increase power efficiency and obtain good communication quality.This paper deals with SNR estimation in satellite communications,and presents an SNR estimation method based on M2M4 algorithm for QPSK signals.The formula is derived and simplified,then a look-up-table method is applied to replace the most complex part of the formula. The look-up-table method can greatly reduce calculating complexities,besides,the method can obtain a SNR estimation range from 0 d B to 20 d B at the cost of a little precision.In the last part,a discussion on influence of shaping-coefficient and frequency bias is given,meanwhile,some suggestions are provided on choice of shaping-coefficient and how to process big frequency bias in the actual application.
引文
[1]许华,樊龙飞,郑辉.一种精确的QPSK信号信噪比估计算法[J].通信学报,2004(2):55-60.
[2]徐卓异,王兵.信噪比估计方法研究[J].电子设计工程,2013(6):135-141.
[3]张金成,彭华,赵国庆.信噪比估计算法研究[J].信息工程大学学报,2011(5):535-543.
[4]潘申富,李振东,梁庆林.AWGN信道下PSK信号幅度与信噪比的估计[J].通信学报,2004(3):167-173.
[5]JERUCHIM M C,WOLFE R J.Estimation of the Signal-toNoise Ratio(SNR)in Communication Simulation[C]∥Global Telecommunications Conference,1989:1274-1278.
[6]许维伟,叶江峰.多进制相移键控信号信噪比估计方法[J].太赫兹科学与电子信息学报,2016(1):81-87.
[7]陈超,徐长纯.一种改进的信噪比估计算法[J].无线电工程,2012,42(2):62-64.
[8]许华,郑辉.MPSK信号的最大似然SNR估计方法[J].电子与信息学报,2005(4):527-531.
[9]华惊宇,黄清,滑翰,等.一种移动环境下的信噪比估计算法及其在多普勒频移估计中的应用[J].通信学报,2005(5):132-137.
[10]MORELLI M,MORETTI M,IMBARLINA G.A Low Complexity SNR Estimation for Transmissions over Timevarying Channel[C]∥Wireless Communications and Networking Conference,2009:1-4.
[11]KARASTERGIOS E,SRMANASENA M A K,EVANS B G.Simple SNR Estimator for Mobile Fading Channels[J].Electronics Letters,2003,39(1):244-245.
[12]杜丽娟,徐健.二阶和四阶矩信噪比估计法研究[J].山东理工大学学报(自然科学版),2005(6):50-53.
[13]卢泳兵,温亚萍,石玉景.二阶四阶矩算法在信道认知中的应用[J].无线电工程,2013,43(10):43-46.
[14]付文君,姜景山.QPSK数字接收机中的SNR估计的新方法[J].电子与信息学报,2007(2):255-259.
[15]蒋政波,洪伟.基于数据辅助的AWGN信道下QPSK信号信噪比估计[J].通信学报,2008(6):119-125.
[2]徐卓异,王兵.信噪比估计方法研究[J].电子设计工程,2013(6):135-141.
[3]张金成,彭华,赵国庆.信噪比估计算法研究[J].信息工程大学学报,2011(5):535-543.
[4]潘申富,李振东,梁庆林.AWGN信道下PSK信号幅度与信噪比的估计[J].通信学报,2004(3):167-173.
[5]JERUCHIM M C,WOLFE R J.Estimation of the Signal-toNoise Ratio(SNR)in Communication Simulation[C]∥Global Telecommunications Conference,1989:1274-1278.
[6]许维伟,叶江峰.多进制相移键控信号信噪比估计方法[J].太赫兹科学与电子信息学报,2016(1):81-87.
[7]陈超,徐长纯.一种改进的信噪比估计算法[J].无线电工程,2012,42(2):62-64.
[8]许华,郑辉.MPSK信号的最大似然SNR估计方法[J].电子与信息学报,2005(4):527-531.
[9]华惊宇,黄清,滑翰,等.一种移动环境下的信噪比估计算法及其在多普勒频移估计中的应用[J].通信学报,2005(5):132-137.
[10]MORELLI M,MORETTI M,IMBARLINA G.A Low Complexity SNR Estimation for Transmissions over Timevarying Channel[C]∥Wireless Communications and Networking Conference,2009:1-4.
[11]KARASTERGIOS E,SRMANASENA M A K,EVANS B G.Simple SNR Estimator for Mobile Fading Channels[J].Electronics Letters,2003,39(1):244-245.
[12]杜丽娟,徐健.二阶和四阶矩信噪比估计法研究[J].山东理工大学学报(自然科学版),2005(6):50-53.
[13]卢泳兵,温亚萍,石玉景.二阶四阶矩算法在信道认知中的应用[J].无线电工程,2013,43(10):43-46.
[14]付文君,姜景山.QPSK数字接收机中的SNR估计的新方法[J].电子与信息学报,2007(2):255-259.
[15]蒋政波,洪伟.基于数据辅助的AWGN信道下QPSK信号信噪比估计[J].通信学报,2008(6):119-125.