SNR估计QPSK数字接收机SNR maximum likelihood estimator based on data directed decision was evaluated first, and was concluded as a biased estimator. An unbiased estimator can be acquired through high order moments of received data. Two SNR estimators based on iteration method were developed in this ...
methods.Theotherisbasedonthestatisticalparametersofreceiveddata,whichnotonlymakesreceiveddata bufferingunnecessary,butalsoreducesiterationcalculationgreatlycomparedwithotheriterationmethods,and moreimportant,notatthecostofestimationperformancedegradation.Finally,theresultofseveralSNR estimatorsinperformanceandcalculationwere...
New SNR Estimation Methods in Digital QPSK ReceiverQPSK数字接收机中的SNR估计的新方法 SNR maximum likelihood estimator based on data directed decision was evaluated first, and was concluded as a biased estimator. An unbiased estimator can be......
AWGN 信道下QPSK 信号SNR 似然估计方法分析与仿真
第27卷第4期2008年8月声学技术TechnicalAcousticsV01.27,No.4Pt.2Aug.,2008AWGN信道下QPSK信号SNR似然..
The frequency estimator estimates a normalized frequency (with respect to symbol rate) range of -0.125 to 0.125, which corresponds to a frequency offset range of -240 KHz to 240 KHz for a symbol rate of 1.92 Mbaud. The estimation accuracy is such that the residual frequency offset after coars...
FPGA-based implementation of all-digital QPSK carrier recovery loop combining costas loop and maximum likelihood frequency estimator TABLE 1: Combinational polarities for QPSK symbols. A novel sample based quadrature phase shift keying demodulator The BER values have been computed as a function of SNR...
semilogy(SNRindB2,theo_err_prb_4); legend('4QAM仿真曲线','4QAM理论曲线',2); function [p]=QAM_4(snr_in_dB) N=10000; d=1; %符号间最小距离 Eav=2*d^2; %符号能量 snr=10^(snr_in_dB/10); %每比特符号的信噪比 sgma=sqrt(Eav/(4*snr)); %噪声方差 M=4; %产生数据 for i=1:...
The estimator performance is close to the Cramér–Rao lower bound (CRLB). In particular the performance of the new algorithm is compared to the CRLB for very short packets and shows that the equivalent loss in SNR is less than 0.5 dB for 20 symbol packets at 16 dB. The estimator is ...
[10] MORELLI M,MORETTI M,IMBARLINA G.A Low Complexity SNR Estimation for Transmissions over Time-varying 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 Lette...