gaussian_estimation.m

通过图形实现OFMD的图像仿真

function [channel_estimation]=gaussian_estimation(channel_post_ti)

frame_symbol=68;
row_begin=3;
row_end=frame_symbol-3;

fft_length=1705;                %for 2k mode
pilot_n=(fft_length-1)/3+1;

channel_estimation=channel_post_ti;

for count_sn=row_begin:row_end
    
    for count_pilot=1:(pilot_n-2)
        count_subch=count_pilot*3-2;
        pilot_0=channel_estimation(count_sn, count_subch);
        pilot_1=channel_estimation(count_sn, count_subch+3);
        pilot_2=channel_estimation(count_sn, count_subch+6);
        channel_estimation(count_sn, count_subch+1)=5/9*pilot_0+5/9*pilot_1-1/9*pilot_2;
        channel_estimation(count_sn, count_subch+2)=2/9*pilot_0+8/9*pilot_1-1/9*pilot_2;       
    end
    channel_estimation(count_sn, count_subch+4)=-1/9*pilot_0+8/9*pilot_1+2/9*pilot_2;
    channel_estimation(count_sn, count_subch+5)=-1/9*pilot_0+5/9*pilot_1+5/9*pilot_2;
end