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nf2ff_planar_noisy.m
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%
% NF2FF Conversion using Planar Scanner
%
% Normal Distributed Position Noise
%
clear
close all
clc
disp('************************************************')
disp(' Near-To-Far-Field Conversion')
disp(' Planar Scanner with normal distributed position Noise')
disp('************************************************')
addpath('misc_functions')
addpath('plot_functions')
addpath('transformation_functions')
%% Load Data
disp('Load Data...')
f = 5e9;
setup = '../measurement/PlanarScan_HornAntenna_Noise/';
data_ff = readtable([setup 'Farfield/farfield (f=' num2str(f*1e-9) ') [1].txt']);
scans = dir(setup);
scan_names = {scans.name};
scan_names(ismember(scan_names,{'.','..','Farfield','Scan-Nwidth-Nheight-WSpacing-HSpacing-Distance-WVar-HVar-DVar.txt'})) = [];
data_nf_raw= cellfun(@(scan_names) readtable([setup,scan_names,'/NearFieldProbeResults' num2str(f*1e-9) 'GHz.txt']),scan_names,'UniformOutput',false);
% Load ideal probe positions
probe_pos_ideal = cellfun(@(scan_names) readtable([setup,scan_names,'/ProbePositions.txt']),scan_names,'UniformOutput',false);
% Exchange positions
for i=1:length(scan_names)
data_nf{i} = data_nf_raw{i};
data_nf{i}.X = probe_pos_ideal{i}.x;
data_nf{i}.Y = probe_pos_ideal{i}.y;
data_nf{i}.Z = probe_pos_ideal{i}.z;
end
% Rearrange farfield table
data_ff = table(data_ff.Var1*pi/180,data_ff.Var2*pi/180,data_ff.Var3,data_ff.Var4,data_ff.Var6);
data_ff.Properties.VariableNames = {'theta' 'phi' 'Eabs' 'Ethetaabs' 'Ephiabs'};
% Rearrange nearfield table
data_nf = cellfun(@rearrangeTables,data_nf,'UniformOutput',false);
% Select measurements to process
% data_nf = data_nf([16]);
% scan_names = scan_names([16]);
disp('Done!')
%% NF2FF transformation
disp('NF2FF Transformation...')
delta_theta=1;
delta_phi=1;
theta_range = (-90:delta_theta:90-delta_theta)*pi/180;
phi_range= (0:delta_phi:180-delta_phi)*pi/180;
[theta_grid,phi_grid]=meshgrid(theta_range,phi_range);
% NF2FF Algorithm Parameters
fft_padding = 4;
data_nf2ff_rect = cellfun(@(data_nf) nf2ff_planar_fft(data_nf,f,phi_range,theta_range,fft_padding,'none'),data_nf,'Uniformoutput',false);
data_nf2ff_hamming = cellfun(@(data_nf) nf2ff_planar_fft(data_nf,f,phi_range,theta_range,fft_padding,'hamming'),data_nf,'Uniformoutput',false);
data_nf2ff_tukey = cellfun(@(data_nf) nf2ff_planar_fft(data_nf,f,phi_range,theta_range,fft_padding,'tukey'),data_nf,'Uniformoutput',false);
% data_nf2ff_rect = cellfun(@(data_nf) nf2ff_planar_manual(data_nf,f,phi_range,theta_range,'none'),data_nf,'Uniformoutput',false);
% data_nf2ff_hamming = cellfun(@(data_nf) nf2ff_planar_manual(data_nf,f,phi_range,theta_range,'hamming'),data_nf,'Uniformoutput',false);
% data_nf2ff_tukey = cellfun(@(data_nf) nf2ff_planar_manual(data_nf,f,phi_range,theta_range,'tukey'),data_nf,'Uniformoutput',false);
data_nf2ff = data_nf2ff_rect;
disp('Done!')
%% Plots
disp('Plotting...')
close all
fontsize = 14;
normalized = true;
logarithmic = false;
% Phi=0 cut
figure('name','Far-Field Cuts,Phi=0°','numbertitle','off',...
'units','normalized','outerposition',[0 0 1 1],...
'DefaultAxesFontSize',fontsize);
plotFFPhiCut(data_ff,0,normalized,logarithmic)
cellfun(@(data_nf2ff) plotNFPhiCut(data_nf2ff,0,normalized,logarithmic),data_nf2ff)
grid on
xlabel('Theta [°]')
if logarithmic == true
ylim([-50 0])
ylabel('E-Field Pattern [dB]')
else
ylim([0 1])
ylabel('E-Field Pattern [-]')
end
title('Far-Field Cut Phi=0°')
legend(['Far-Field',scan_names]) ;
figure('name','Far-Field Error,Phi=0°','numbertitle','off',...
'units','normalized','outerposition',[0 0 1 1],...
'DefaultAxesFontSize',fontsize);
cellfun(@(data_nf2ff) plotDiffPhiCut(data_nf2ff,data_ff,0,theta_range),data_nf2ff)
grid on
xlabel('Theta [°]')
ylabel('Difference to Reference Far-Field [dB]')
title('Difference to Reference Far-Field, Phi=0°')
legend(scan_names);
% Phi=90 cut
figure('name','Far-Field Cuts,Phi=90°','numbertitle','off',...
'units','normalized','outerposition',[0 0 1 1],...
'DefaultAxesFontSize',fontsize);
plotFFPhiCut(data_ff,pi/2,normalized,logarithmic)
cellfun(@(data_nf2ff) plotNFPhiCut(data_nf2ff,pi/2,normalized,logarithmic),data_nf2ff)
grid on
xlabel('Theta [°]')
if logarithmic == true
ylim([-50 0])
ylabel('E-Field Pattern [dB]')
else
ylim([0 1])
ylabel('E-Field Pattern [-]')
end
title('Far-Field Cut Phi=90°')
legend(['Far-Field',scan_names])
figure('name','Far-Field Error,Phi=90°','numbertitle','off',...
'units','normalized','outerposition',[0 0 1 1],...
'DefaultAxesFontSize',fontsize);
cellfun(@(data_nf2ff) plotDiffPhiCut(data_nf2ff,data_ff,pi/2,theta_range),data_nf2ff)
grid on
xlabel('Theta [°]')
ylabel('Difference to Reference Far-Field [dB]')
title('Difference to Reference Far-Field, Phi=90°')
legend(scan_names)
disp('Done!')
%% Accumulated Pattern Error Analysis
close all
fontsize = 14;
n_meas = 10;
sigma = [0,0.5,1,2,3,4];
% Calculate APE
ape_rect = cellfun(@(data_nf2ff) ErrorAnalysis(data_ff,data_nf2ff,'planar'),data_nf2ff_rect);
ape_rect_mean = [ape_rect(1),...
mean(ape_rect(2:11)),...
mean(ape_rect(12:21)),...
mean(ape_rect(22:31)),...
mean(ape_rect(32:41)),...
mean(ape_rect(42:51))];
err_rect = [0,...
range(ape_rect(2:11))/2,...
range(ape_rect(12:21))/2,...
range(ape_rect(22:31))/2,...
range(ape_rect(32:end))/2];
ape_hamming = cellfun(@(data_nf2ff) ErrorAnalysis(data_ff,data_nf2ff,'planar'),data_nf2ff_hamming);
ape_hamming_mean = [ape_hamming(1),...
mean(ape_hamming(2:11)),...
mean(ape_hamming(12:21)),...
mean(ape_hamming(22:31)),...
mean(ape_hamming(32:41)),...
mean(ape_hamming(42:51))];
err_hamming = [0,...
range(ape_hamming(2:11))/2,...
range(ape_hamming(12:21))/2,...
range(ape_hamming(22:31))/2,...
range(ape_hamming(32:end))/2];
ape_tukey = cellfun(@(data_nf2ff) ErrorAnalysis(data_ff,data_nf2ff,'planar'),data_nf2ff_tukey);
ape_tukey_mean = [ape_tukey(1),...
mean(ape_tukey(2:11)),...
mean(ape_tukey(12:21)),...
mean(ape_tukey(22:31)),...
mean(ape_tukey(32:41)),...
mean(ape_tukey(42:51))];
err_tukey = [0,...
range(ape_tukey(2:11))/2,...
range(ape_tukey(12:21))/2,...
range(ape_tukey(22:31))/2,...
range(ape_tukey(32:end))/2];
% Increasing Variance
figure('name','Accumulated Pattern Error, Varying Area','numbertitle','off',...
'units','normalized','outerposition',[0 0 1 1],...
'DefaultAxesFontSize',fontsize);
%errorbar(sigma,100*ape_rect_mean,100*err_rect,'--*')
plot(sigma,100*ape_rect_mean,'--*')
hold on
%errorbar(sigma,100*ape_hamming_mean,100*err_rect,'--*')
plot(sigma,100*ape_hamming_mean,'--*')
%errorbar(sigma,100*ape_tukey_mean,100*err_rect,'--*')
plot(sigma,100*ape_tukey_mean,'--*')
grid on
xlabel('Standard Deviation of Probe Position [mm]');
ylabel('Accumulated Pattern Error [%]')
title({'Accumulated Pattern Error','\lambda/2 spacing'})
legend('Rectangular','Hamming','Tukey')
%% HPBW Error Analysis
close all
fontsize = 14;
sigma = [0,0.5,1,2,3,4];
% Calculate HPBW error
[~,~, hpbw_err_rect] = cellfun(@(data_nf2ff) HPBWError(data_ff,data_nf2ff,'planar'),data_nf2ff_rect,'UniformOutput',false);
[~,~, hpbw_err_hamming] = cellfun(@(data_nf2ff) HPBWError(data_ff,data_nf2ff,'planar'),data_nf2ff_hamming,'UniformOutput',false);
[~,~, hpbw_err_tukey] = cellfun(@(data_nf2ff) HPBWError(data_ff,data_nf2ff,'planar'),data_nf2ff_tukey,'UniformOutput',false);
hpbw_err_rect = cell2mat(hpbw_err_rect);
hpbw_err_rect_mean = [hpbw_err_rect(:,1),...
mean(hpbw_err_rect(:,2:11),2),...
mean(hpbw_err_rect(:,12:21),2),...
mean(hpbw_err_rect(:,22:31),2),...
mean(hpbw_err_rect(:,32:41),2),...
mean(hpbw_err_rect(:,42:51),2)];
hpbw_err_hamming = cell2mat(hpbw_err_hamming);
hpbw_err_hamming_mean = [hpbw_err_hamming(:,1),...
mean(hpbw_err_hamming(:,2:11),2),...
mean(hpbw_err_hamming(:,12:21),2),...
mean(hpbw_err_hamming(:,22:31),2),...
mean(hpbw_err_hamming(:,32:41),2),...
mean(hpbw_err_hamming(:,42:51),2)];
hpbw_err_tukey = cell2mat(hpbw_err_tukey);
hpbw_err_tukey_mean = [hpbw_err_tukey(:,1),...
mean(hpbw_err_tukey(:,2:11),2),...
mean(hpbw_err_tukey(:,12:21),2),...
mean(hpbw_err_tukey(:,22:31),2),...
mean(hpbw_err_tukey(:,32:41),2),...
mean(hpbw_err_tukey(:,42:51),2)];
%Phi = 0 Cut
figure('name','HPBW Error, Varying Standard Deviation','numbertitle','off',...
'units','normalized','outerposition',[0 0 1 1],...
'DefaultAxesFontSize',fontsize);
plot(sigma,hpbw_err_rect_mean(1,:),'-*')
hold on
plot(sigma,hpbw_err_hamming_mean(1,:),'-*')
plot(sigma,hpbw_err_tukey_mean(1,:),'-*')
grid on
xlabel('Standard Deviation of Probe Position [mm]');
ylabel('HPBW Error [Degrees]')
title({'HPBW Error','\lambda/2 spacing, Phi=0 Cut'})
legend('Rectangular','Hamming','Tukey')
% Phi = 90 Cut
figure('name','HPBW Error, Varying Standard Deviation','numbertitle','off',...
'units','normalized','outerposition',[0 0 1 1],...
'DefaultAxesFontSize',fontsize);
plot(sigma,hpbw_err_rect_mean(2,:),'-*')
hold on
plot(sigma,hpbw_err_hamming_mean(2,:),'-*')
plot(sigma,hpbw_err_tukey_mean(2,:),'-*')
grid on
xlabel('Standard Deviation of Probe Position [mm]');
ylabel('HPBW Error [Degrees]')
title({'HPBW Error','\lambda/2 spacing, Phi=90 Cut'})
legend('Rectangular','Hamming','Tukey')
%% Side-Lobe Level Error Analysis
close all
fontsize = 14;
sigma = [0,0.5,1,2,3,4];
% Calculate Side-Lobe Level error
[~,~, sll_err_rect] = cellfun(@(data_nf2ff) SLLError(data_ff,data_nf2ff,'planar'),data_nf2ff_rect,'UniformOutput',false);
[~,~, sll_err_hamming] = cellfun(@(data_nf2ff) SLLError(data_ff,data_nf2ff,'planar'),data_nf2ff_hamming,'UniformOutput',false);
[~,~, sll_err_tukey] = cellfun(@(data_nf2ff) SLLError(data_ff,data_nf2ff,'planar'),data_nf2ff_tukey,'UniformOutput',false);
sll_err_rect = cell2mat(sll_err_rect);
sll_err_rect_mean = [sll_err_rect(1),...
mean(sll_err_rect(2:11)),...
mean(sll_err_rect(12:21)),...
mean(sll_err_rect(22:31)),...
mean(sll_err_rect(32:41)),...
mean(sll_err_rect(42:51))];
sll_err_hamming = cell2mat(sll_err_hamming);
sll_err_hamming_mean = [sll_err_hamming(1),...
mean(sll_err_hamming(2:11)),...
mean(sll_err_hamming(12:21)),...
mean(sll_err_hamming(22:31)),...
mean(sll_err_hamming(32:41)),...
mean(sll_err_hamming(42:51))];
sll_err_tukey = cell2mat(sll_err_tukey);
sll_err_tukey_mean = [sll_err_tukey(1),...
mean(sll_err_tukey(2:11)),...
mean(sll_err_tukey(12:21)),...
mean(sll_err_tukey(22:31)),...
mean(sll_err_tukey(32:41)),...
mean(sll_err_tukey(42:51))];
figure('name','Side-Lobe-Level Error, Varying Area','numbertitle','off',...
'units','normalized','outerposition',[0 0 1 1],...
'DefaultAxesFontSize',fontsize);
plot(sigma,sll_err_rect_mean,'-*')
hold on
plot(sigma,sll_err_hamming_mean,'-*')
plot(sigma,sll_err_tukey_mean,'-*')
grid on
xlabel('Standard Deviation of Probe Position [mm]');
ylabel('SLL Error [dB]')
title({'Side-Lobe-Level Error','\lambda/2 spacing'})
legend('Rectangular','Hamming','Tukey')