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Matlab

freq_syn_timedomain.m：源码内容

							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

						