Is there anyway to plot a fft2 function

fc = 24e9;
c = 3e8;
lambda = c/fc;
p = 25; %number of pulses
n = 25; %samples collecetd for each pulse
bw = 300e6; %300 M hz bw
T = 300e-6;
k= bw/T;
v1 = 45;
v2 = 0
fd1 = (2*v1)/lambda;
fd2 = (2*v2)/lambda;
R1 = 150; %Range 1 20 m
R2 = 50; %Range 2 10 m
tau1 = (2*R1)/c;
tau2 = (2*R2)/c;
To1= T + tau1; %To for target 1
To2 = T + tau2; %to for target 2
fs = 300e6;
%fs1 = 1/To1; %sampling frequency for target 1
%fs2 = 1/To2;
for ii=1:p
for ii=1:n
a = exp(1i*2*pi*((((2*k*R1)/c)+fd1)*(n/fs)+(fd1*p*To1)+((2*fc*R1)/c))) ;
b = exp(1i*2*pi*((((2*k*R2)/c)+fd2)*(n/fs)+(fd2*p*To2)+((2*fc*R2)/c))) ;
w = a + b ;
end
end
x = fft2(w,n,p)
plot(w,x)
%z = getMatchedFilter(x);
%matchedfilter = phased.MatchedFilter(...
% 'Coefficients',z,...
%'SpectrumWindow','Hamming');
%matchFiltered = step(matchedfilter,beamformed);
%load RangeDopplerExampleData;
%hrdresp = phased.RangeDopplerResponse(...
% 'RangeMethod','FFT',...
% 'PropagationSpeed',c,...
%'DopplerOutput','Speed','OperatingFrequency',fc);
%plotResponse(hrdresp,...
% x,w,...
% 'Unit','db','NormalizeDoppler',true)
%plotresponse(x,n,p)
%% The above code display a matrix that is 25X25 to represent a data cube. Is there anyway to take that data that is being displayed
%%fft2 and display teh speed an location of the twoo objects in teh code.
%%The objecyt are denoted (v1,R1) and (v2,R2)

1 commentaire

Use any of the surface plotting functions.
However, since ‘w’ is a scalar, the Fourier transform will be a constant.
Both loop counters are the same ‘ii’ variable, nothing in either ‘a’ or ‘b’ ever changes, and ‘w’ is not subscripted to create a matrix. I leave those corrections to you.
fc = 24e9;
c = 3e8;
lambda = c/fc;
p = 25; %number of pulses
n = 25; %samples collecetd for each pulse
bw = 300e6; %300 M hz bw
T = 300e-6;
k= bw/T;
v1 = 45;
v2 = 0;
fd1 = (2*v1)/lambda;
fd2 = (2*v2)/lambda;
R1 = 150; %Range 1 20 m
R2 = 50; %Range 2 10 m
tau1 = (2*R1)/c;
tau2 = (2*R2)/c;
To1= T + tau1; %To for target 1
To2 = T + tau2; %to for target 2
fs = 300e6;
%fs1 = 1/To1; %sampling frequency for target 1
%fs2 = 1/To2;
for ii=1:p
for ii=1:n
a = exp(1i*2*pi*((((2*k*R1)/c)+fd1)*(n/fs)+(fd1*p*To1)+((2*fc*R1)/c))) ;
b = exp(1i*2*pi*((((2*k*R2)/c)+fd2)*(n/fs)+(fd2*p*To2)+((2*fc*R2)/c))) ;
w = a + b ;
end
end
x = fft2(w,n,p);
figure
surf(real(x))
grid on
figure
surf(imag(x))
grid on
figure
surf(abs(x))
grid on
.

Connectez-vous pour commenter.

Réponses (0)

Catégories

En savoir plus sur Get Started with Signal Processing Toolbox dans Centre d'aide et File Exchange

Tags

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

Translated by