floating point numbers are not allowed as holes. they should be converted to strings

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xiaofan yang
xiaofan yang 2016-3-12
评论： Walter Roberson 2016-3-13
I do realize there are similar questions posted here, but mine is different. If I run the code, it will give me errors saying
But if I lower the bandwidth, centerfrequency, and itnerpolation factor in the hDUC and HDDC block, then the code works fine. I have also attached this version. Therefore I guess the problem is the number is too big. But I can only use double. I cannot convert number for bandwidth, centerfrequency, and interpolation factor to other format because digitalupconverter and digitaldownconverter can only accept double as input. How am I supposed to solve this problem?
Below is the version that has the value I want and it does not work.
m=2;
k=log2(m);
ebno=5;
freqsep=65536;
nsamp=32;
fs=6e6;
x = randi([0 m-1],10000,1);
y=fskmod(x,m,freqsep,nsamp,fs);
% h = dsp.SpectrumAnalyzer('SampleRate',fs);
% step(h,y)
hDUC = dsp.DigitalUpConverter(...
'InterpolationFactor', 800,...
'SampleRate', fs,...
'Bandwidth', 2e6,...
'StopbandAttenuation', 55,...
'PassbandRipple',0.2,...
'CenterFrequency',4.3e9);
hDDC = dsp.DigitalDownConverter(...
'DecimationFactor',800,...
'SampleRate', fs*800,...
'Bandwidth', 3e6,...
'StopbandAttenuation', 55,...
'PassbandRipple',0.2,...
'CenterFrequency',4.3e9);
% Create a spectrum estimator to visualize the signal spectrum before
% and after up converting.
window = hamming(floor(length(y)/10));
figure; pwelch(y,window,[],[],fs,'centered')
title('Spectrum of baseband signal y')
%
% Up convert the signal and visualize the spectrum
yUp = step(hDUC,y); % up convert
window = hamming(floor(length(yUp)/10));
figure; pwelch(yUp,window,[],[],50*fs,'centered')
title('Spectrum of up converted signal yUp')
%pass through AWGN channel
rxSig = awgn(yUp,ebno+10*log10(k)-10*log10(nsamp));
window = hamming(floor(length(rxSig)/10));
figure; pwelch(rxSig,window,[],[],50*fs,'centered')
title('Spectrum after awgn')
% Down convert the signal and visualize the spectrum
xDown = step(hDDC,rxSig); % down convert
window = hamming(floor(length(xDown)/10));
figure; pwelch(xDown,window,[],[],fs,'centered')
title('Spectrum of down converted signal xDown')
fskdemod=fskdemod(xDown,m,freqsep,nsamp,fs);
[num,ber]=biterr(x,fskdemod);
bertheory=berawgn(ebno,'fsk',m,'noncoherent');
[ber bertheory]
Below is the version that has the number that can run
clear all
close all
m=2;
k=log2(m);
ebno=5;
freqsep=65536;
nsamp=32;
fs=6e5;
x = randi([0 m-1],10000,1);
y=fskmod(x,m,freqsep,nsamp,fs);
% h = dsp.SpectrumAnalyzer('SampleRate',fs);
% step(h,y)
hDUC = dsp.DigitalUpConverter(...
'InterpolationFactor', 50,...
'SampleRate', fs,...
'Bandwidth', 2e5,...
'StopbandAttenuation', 55,...
'PassbandRipple',0.2,...
'CenterFrequency',4.3e6);
hDDC = dsp.DigitalDownConverter(...
'DecimationFactor',50,...
'SampleRate', fs*50,...
'Bandwidth', 3e5,...
'StopbandAttenuation', 55,...
'PassbandRipple',0.2,...
'CenterFrequency',4.3e6);
% Create a spectrum estimator to visualize the signal spectrum before
% and after up converting.
window = hamming(floor(length(y)/10));
figure; pwelch(y,window,[],[],fs,'centered')
title('Spectrum of baseband signal y')
%
% Up convert the signal and visualize the spectrum
yUp = step(hDUC,y); % up convert
window = hamming(floor(length(yUp)/10));
figure; pwelch(yUp,window,[],[],50*fs,'centered')
title('Spectrum of up converted signal yUp')
axis([4 5 -inf inf])
%pass through AWGN channel
rxSig = awgn(yUp,ebno+10*log10(k)-10*log10(nsamp));
window = hamming(floor(length(rxSig)/10));
figure; pwelch(rxSig,window,[],[],50*fs,'centered')
title('Spectrum after awgn')
% Down convert the signal and visualize the spectrum
xDown = step(hDDC,rxSig); % down convert
window = hamming(floor(length(xDown)/10));
figure; pwelch(xDown,window,[],[],fs,'centered')
title('Spectrum of down converted signal xDown')
fskdemod=fskdemod(xDown,m,freqsep,nsamp,fs);
[num,ber]=biterr(x,fskdemod);
bertheory=berawgn(ebno,'fsk',m,'noncoherent');
[ber bertheory]

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