📄 freq_syn_timedomain.m
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function [synchronized, offset] = freq_syn_timedomain( recv_frame,WinStart, WinSize,Delay, T_sample, N_Rx_ant,FreqSyn,AddChFreq )
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% 利用时域延时相同的训练序列样点,进行载波频偏估计及补偿的算法
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
if ~AddChFreq
if FreqSyn
time_idx = [ 0:length(recv_frame)-1 ] ;
for ant = 1:N_Rx_ant
% 延时相关,取角度
recv = recv_frame(1,WinStart + 1: WinStart + WinSize , ant);
recv_delayed = recv_frame(1 , WinStart + Delay + 1 -40 : WinStart + WinSize + Delay -40 , ant);
offset_metric = sum( recv .* conj( recv_delayed ) );
offset(ant) = - angle(offset_metric)/(2*pi*Delay*T_sample);
% 载波频偏粗估计纠正, 方法1, 在每条接收天线上进行纠正
% synchronized(1,:,ant) = recv_frame(1,:,ant).*exp(-j*2*pi*offset(ant).*time_idx*T_sample);
end
% 载波频偏粗估计纠正, 方法2 , 合并一个频偏纠正值,在每条接收天线上进行纠正
offset = sum(offset)/N_Rx_ant;
time_idx = repmat(time_idx,[1,1,N_Rx_ant]);
synchronized = recv_frame.*exp(-j*2*pi*offset.*time_idx*T_sample);
else
synchronized = recv_frame;
offset = 0;
end
else
synchronized = NaN;
offset = NaN;
end
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