matlab例程

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CHM

fine_freq_syn.m：源码内容

							function [fine_freq_out,offset] = fine_freq_syn( timed_sym,WinStart2, WinSize2, Delay3, T_sample,N_Rx_ant,delta_fc,TurnOn )
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% 精频偏估计
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
if TurnOn
    
    time_idx = [ 0 : length(timed_sym) - 1 ] ;
    for ant = 1:N_Rx_ant
        
        % 延时相关,取角度
        recv = timed_sym(1,WinStart2  : WinStart2 + WinSize2 - 1, ant);
        recv_delayed = timed_sym(1,WinStart2 + Delay3 : WinStart2 + WinSize2 + Delay3 - 1, ant);
        
        offset_metric = sum( recv .* conj( recv_delayed ) );
        offset(ant) = - angle(offset_metric)/(2*pi*Delay3*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
        % fine_freq_out(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]);
    fine_freq_out = timed_sym.*exp(-j*2*pi*offset.*time_idx*T_sample);
    
    % 计算载波频偏纠正误差
    %err_freq2 = delta_fc - offset;
else
    fine_freq_out = timed_sym;
end

						