jiangx
20d52e1953
git-svn-id: http://svn.eurecom.fr/openair4G/trunk@5910 818b1a75-f10b-46b9-bf7c-635c3b92a50f
255 lines
8.4 KiB
Matlab
255 lines
8.4 KiB
Matlab
% Author: Mirsad Cirkic, Florian Kaltenberger
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% Organisation: Eurecom (and Linkoping University)
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% E-mail: mirsad.cirkic@liu.se
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if(paramsinitialized)
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disp(['\n\n------------\nThis code is, so far, only written for single runs. Multiple ' ...
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'runs will overwrite the previous measurement data, i.e., the ' ...
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'data structures are not defined for multiple runs. You will need to ' ...
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'add code in order to save the intermediate measurements and the ' ...
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'corresponding timestamps.\n------------'])
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N=76800;
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M=4;
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Ntaps=8;
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indA=find(active_rfA==1);
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indB=find(active_rfB==1);
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Nanta=length(indA);
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Nantb=length(indB);
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if(Nanta~=1)
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error('Node A can only have one antenna active\n');
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end
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Niter=1;
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if(Niter~=1)
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error('We should only use one get_frame at each run.\n');
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end
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Nmeas = 10;
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%% ------- Prepare the signals for A2B ---------- %%
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signalA2B=zeros(N,4,Nmeas);
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signalB2A=zeros(N,4,Nmeas);
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Da2b_T=[];
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Db2a_T=[];
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for meas=1:Nmeas
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ia=1; ib=1;
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Dtmp=[];
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for i=1:4
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if(indA(ia)==i)
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[tmpd, tmps]=genrandpskseq(N,M,amp);
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signalA2B(:,i,meas)=tmps*2; %make sure LSB is 0 (switch=tx)
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signalB2A(:,i,meas)=repmat(1+1j,76800,1); %make sure LSB is 1 (switch=rx)
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Dtmp=[Dtmp tmpd];
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if(length(indA)> ia) ia=ia+1; end
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end
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% if(indB(ib)==i)
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% % This part could be improved by creating fully orthogonal sequences
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% [tmpd, tmps]=genrandpskseq(N,M,amp);
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% signalB2A(:,i)=tmps*2;
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% signalA2B(:,i)=repmat(1+1j,76800,1);
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% Db2a_T=[Db2a_T tmpd];
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% if(length(indB)> ib) ib=ib+1; end
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% end
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end
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Da2b_T=[Da2b_T; Dtmp];
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%%------------Prepare the signals for B2A---------------%%
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Dtmp=[];
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for i=1:4
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if(indB(ib)==i)
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[tmpd, tmps]=genrandpskseq(N,M,amp);
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signalB2A(:,i,meas)=tmps*2; %make sure LSB is 0 (switch=tx)
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signalA2B(:,i,meas)=repmat(1+1j,76800,1); %make sure LSB is 1 (switch=rx)
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Dtmp=[Dtmp tmpd];
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if(length(indB)> ib) ib=ib+1; end
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end
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end
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Db2a_T=[Db2a_T; Dtmp];
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end
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Da2b_R=zeros(Nmeas*120,Nantb*301);
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Db2a_R=zeros(Nmeas*120,Nanta*301);
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for meas=1:Nmeas
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%% ------- Node A to B transmission ------- %%
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oarf_send_frame(card,squeeze(signalA2B(:,:,meas)),n_bit);
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%keyboard
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sleep(0.01);
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receivedA2B=oarf_get_frame(card);
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%oarf_stop(card); %not good, since it does a reset
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sleep(0.01);
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%%----------Node B to A transmission---------%%
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oarf_send_frame(card,squeeze(signalB2A(:,:,meas)),n_bit);
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%keyboard
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sleep(0.01);
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receivedB2A=oarf_get_frame(card);
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%oarf_stop(card); %not good, since it does a reset
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%% ------- Do the A to B signal post preparation ------- %%
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for i=0:119;
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ifblock=receivedA2B(i*640+[1:640],indB);
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ifblock(1:128,:)=[];
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fblock=fft(ifblock);
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fblock(1,:)=[];
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fblock(151:360,:)=[];
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Da2b_R((meas-1)*120+i+1,:)=vec(fblock);
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end
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%% ------- Do the B to A signal post preparation ------- %%
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for i=0:119;
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ifblock=receivedB2A(i*640+[1:640],indA);
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ifblock(1:128,:)=[];
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fblock=fft(ifblock);
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fblock(1,:)=[];
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fblock(151:360,:)=[];
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Db2a_R((meas-1)*120+i+1,:)=fblock.';
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end
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end
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%% estimate the noise
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no_signal=repmat(1+1j,76800,4);
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oarf_send_frame(card,no_signal,n_bit);
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sleep(0.01);
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noise_received=oarf_get_frame(card);
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% estimate noise in frequency domain
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noise_f = zeros(120,301,4);
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for i=0:119;
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ifblock=noise_received(i*640+[1:640],:);
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ifblock(1:128,:)=[];
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fblock=fft(ifblock);
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fblock(1,:)=[];
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fblock(151:360,:)=[];
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noise_f(i+1,:,:)=fblock;
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end
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%% ------- Do the A to B channel estimation ------- %%
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HA2B=repmat(conj(Da2b_T),1,Nantb).*Da2b_R;
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phasesA2B=mod(angle(HA2B),2*pi);
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if(mean(var(phasesA2B))>0.5)
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disp('The phases of your estimates from A to B are a bit high (larger than 0.5 rad.), something is wrong.');
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end
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DA2B=repmat(Da2b_T,1,Nantb);
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chanestsA2B=reshape(diag(DA2B'*Da2b_R)./diag(DA2B'*DA2B),301,Nantb);
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fchanestsA2B=[zeros(1,Nantb); chanestsA2B([1:150],:); zeros(210,Nantb); chanestsA2B(151:301,:)];
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tchanestsA2B=ifft(fchanestsA2B);
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%% ------- Do the B to A channel estimation ------- %%
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if (chanest_full)
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HB2A=zeros(120*Nmeas/10,301,Nantb);
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for t=1:120*Nmeas/10
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for ci=1:301;
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data=Db2a_T((t-1)*10+1:t*10,ci+[0:Nantb-1]*301);
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rec=Db2a_R((t-1)*10+1:t*10,ci);
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HB2A(t,ci,:)=(inv(data'*data)*data'*rec).';
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end
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end
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phasesB2A=mod(angle(HB2A),2*pi);
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phasesB2A=reshape(phasesB2A,[],301*Nantb);
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if(mean(var(phasesB2A))>0.5)
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disp('The phases of your estimates from B to A are a bit high (larger than 0.5 rad.), something is wrong.');
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end
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chanestsB2A=zeros(301,Nantb);
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for ci=1:301;
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data=Db2a_T(:,ci+[0:Nantb-1]*301);
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rec=Db2a_R(:,ci);
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chanestsB2A(ci,:)=(inv(data'*data)*data'*rec).';
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end
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else
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chanestsB2A=reshape(diag(Db2a_T'*repmat(Db2a_R,1,Nantb)/(Nmeas*60)),301,Nantb);
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end
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%fchanestsB2A=zeros(512,Nantb);
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%for i=1:Nantb
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% fchanestsB2A(:,i)=[0; chanestsB2A([1:150],i); zeros(210,1); chanestsB2A(151:301,i)];
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%end
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fchanestsB2A = [zeros(1,Nantb); chanestsB2A([1:150],:); zeros(210,Nantb); chanestsB2A(151:301,:)];
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tchanestsB2A=ifft(fchanestsB2A);
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%% -- Some plotting code -- %% (you can uncomment what you see fit)
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received = [receivedA2B(:,indB) receivedB2A(:,indA)];
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phases = phasesB2A;
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tchanests = [tchanestsA2B(:,:,end), tchanestsB2A(:,:,end)];
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fchanests = [chanestsA2B(:,:,end), chanestsB2A(:,:,end)];
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clf
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figure(1)
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for i=1:size(received,2)
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subplot(220+i);
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plot(20*log10(abs(fftshift(fft(received(:,i))))));
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ylim([20 140])
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end
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figure(2)
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t=[0:512-1]/512*1e-2;
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plot(t,20*log10(abs(tchanests)))
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xlabel('time')
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ylabel('|h|')
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if Nantb==3
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legend('A->B1','A->B2','A->B3','B1->A','B2->A','B3->A');
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else
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legend('A->B1','A->B2','B1->A','B2->A');
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end
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figure(3)
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plot(20*log10(abs(fchanests)));
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hold on
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plot(squeeze(10*log10(mean(abs(noise_f(:,:,[indB indA])).^2,1))),'.');
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hold off
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ylim([40 100])
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xlabel('freq')
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ylabel('|h|')
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if Nantb==3
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legend('A->B1','A->B2','A->B3','B1->A','B2->A','B3->A','Noise B1','Noise B2','Noise B3','Noise A');
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else
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legend('A->B1','A->B2','B1->A','B2->A','Noise B1','Noise B2','Noise A');
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end
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if (0)
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figure(4)
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wndw = 50;
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for i=1:5:Nantb*301 %# sliding window size
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phamean = filter(ones(wndw,1)/wndw, 1, phases(:,i)); %# moving average
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plot(phamean(wndw:end),'LineWidth',2);
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title(['subcarrier ' num2str(i)]);
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xlabel('time')
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ylabel('phase')
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ylim([-pi pi])
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drawnow;
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pause(0.1)
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end
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phavar=var(phases);
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plotphavar=[];
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for i=0:Nantb-1
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plotphavar=[plotphavar; phavar([1:301]+i*301)];
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end
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plot([1:150 362:512],plotphavar,'o');
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%ylim([0 pi])
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xlabel('subcarrier')
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ylabel('phase variance')
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end
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%% estimate F matrix assuming it is diagonal for sanity checking
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Fhatloc = zeros(301,Nantb);
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for s=1:301
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ya=chanestsB2A(s,:);
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yb=chanestsA2B(s,:);
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Fhatloc(s,:)=(yb.*conj(ya))./(ya.*conj(ya));
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end
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figure(5)
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plot_style={'rx','go','bs'};
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hold off
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for n=1:Nantb
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plot((squeeze(Fhatloc(:,n))),plot_style{n})
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hold on
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end
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axis([-2 2 -2 2])
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%disp(squeeze(mean(Fhatloc,1)));
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drawnow
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else
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error('You have to run init.params.m first!')
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end
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