%
% README Chapter 3
%
% by Hiroshi Harada
%
% If you have any bugs and questions in our simulation programs, please e-mail
% to harada@ieee.org. We try to do our best to answer your questions.
%
In this directory, we can find the twenty-eight files. The relationship between file name and the number of program written in the book is shown in as follows.
Program3-1 bpsk.m
Program3-2 bpsk_fading.m
Program3-3 hrollfcoef.m
Program3-4 oversamp.m
Program3-5 qpsk.m
Program3-6 qpsk_fading.m
Program3-7 compconv.m
Program3-8 compoversamp.m
Program3-9 qpskmod.m
Program3-10 qpskdemod.m
Program3-11 oqpsk.m
Program3-12 oqpsk_fading.m
Program3-13 msk.m
Program3-14 msk_fading.m
Program3-15 msk2.m
Program3-16 msk2_fading.m
Program3-17 oversamp2.m
Program3-18 gmsk.m
Program3-19 gmsk_fading.m
Program3-20 gaussf.m
Program3-21 qam16.m
Program3-22 qam16_fading.m
Program3-23 qammod.m
Program3-24 qamdemod.m
Program2-4 comb.m
Program2-5 fade.m
Program2-6 sefade.m
Program2-7 delay.m
If you would like to try to use the above programs by using MATLAB.First of all, please copy all of files to your created adequate directory. Then, you start to run MATLAB and you can see the following command prompt in the command window.
>>
Next, you can go to the directory that have all of programs in this section by using change directory (cd) command. If you copy all of files to /matlabR12/work/chapter3, you only type the following command.
>> cd /matlabR12/work/chapter3
In this directory, we can find fourteen main functions, bpsk.m, bpsk_fading.m, qpsk.m, qpsk_fading.m, oqpsk.m, oqpsk_fading.m, msk.m, msk_fading.m, msk2.m, msk2_fading.m, gmsk.m, gmsk_fading.m, qam16.m and qam16_fading.m
#########################################################
(1) Simulation of "bpsk.m"
#########################################################
This program simulates the transmission performance of BPSK under Additive White Gausian Noise (AWGN) environment.
(a) Set paremeters
First of all, we set simulation parameters in "bpsk.m".
%******************** Preparation part **********************
sr=256000.0; % Symbol rate 256 ksymbol/s
ml=1; % Number of modulation levels
br=sr.*ml; % Bit rate (=symbol rate in this case)
nd = 1000; % Number of symbols that simulates in each loop
ebn0=3; % Eb/N0
IPOINT=8; % Number of oversamples
%******************** START CALCULATION *********************
nloop=100; % Number of simulation loops
(b) Type just the following command
>> clear
>> bpsk
(c) Then, you can see the following simulation result on your command window.
(example)
3 2275 100000 2.275000e-002
where first number 3 is Eb/No, second number 2275 is the number of error data, third number 100000 is the number of transmitted data, and fourth number 2.275000e-002 is bit error rate (BER) performance. And, the simulation result is stored in the file (BERbpsk.dat).
#########################################################
(2) Simulation of "bpsk_fading.m"
#########################################################
This program simulates the transmission performance of BPSK under Rayleigh fading environment.
(a) Set paremeters
First of all, we set simulation parameters in "bpsk_fading.m".
%******************** Preparation part **********************
sr=256000.0; % Symbol rate 256 ksymbol/s
ml=1; % Number of modulation levels
br=sr.*ml; % Bit rate (=symbol rate in this case)
nd = 100; % Number of symbols that simulates in each loop
ebn0=10; % Eb/N0
IPOINT=8; % Number of oversamples
%******************* Fading initialization ********************
% If you use fading function "sefade", you can initialize all of parameters.
% Otherwise you can comment out the following initialization.
% The detailed explanation of all of valiables are mentioned in Program 2-8.
% Time resolution
tstp=1/sr/IPOINT;
% Arrival time for each multipath normalized by tstp
% If you would like to simulate under one path fading model, you have only to set
% direct wave.
itau = [0];
% Mean power for each multipath normalized by direct wave.
% If you would like to simulate under one path fading model, you have only to set
% direct wave.
dlvl = [0];
% Number of waves to generate fading for each multipath.
% In normal case, more than six waves are needed to generate Rayleigh fading
n0=[6];
% Initial Phase of delayed wave
% In this simulation four-path Rayleigh fading are considered.
th1=[0.0];
% Number of fading counter to skip
itnd0=nd*IPOINT*100;
% Initial value of fading counter
% In this simulation one-path Rayleigh fading are considered.
% Therefore one fading counter are needed.
itnd1=[1000];
% Number of directwave + Number of delayed wave
% In this simulation one-path Rayleigh fading are considered
now1=1;
% Maximum Doppler frequency [Hz]
% You can insert your favorite value
fd=160;
% You can decide two mode to simulate fading by changing the variable flat
% flat : flat fading or not
% (1->flat (only amplitude is fluctuated),0->nomal(phase and amplitude are fluctutated)
flat =1;
%******************** START CALCULATION *********************
nloop=1000; % Number of simulation loops
(b) Type just the following command
>> clear
>> bpsk_fading
(c) Then, you can see the following simulation result on your command window.
(example)
10 2143 100000 2.143000e-002
The meaning of each value is the same of the result from "bpsk.m".
The simulation result is stored in the file (BERbpskfad.dat).
#########################################################
(3) Simulation of "qpsk.m"
#########################################################
This program simulates the transmission performance of QPSK under Additive White Gausian Noise (AWGN) environment.
(a) Set paremeters
First of all, we set simulation parameters in "qpsk.m".
%******************** Preparation part **********************
sr=256000.0; % Symbol rate 256 ksymbol/s
ml=2; % Number of modulation levels
br=sr.*ml; % Bit rate (=symbol rate in this case)
nd = 1000; % Number of symbols that simulates in each loop
ebn0=3; % Eb/N0
IPOINT=8; % Number of oversamples
%******************** START CALCULATION *********************
nloop=100; % Number of simulation loops
(b) Type just the following command
>> clear
>> qpsk
(c) Then, you can see the following simulation result on your command window.
(example)
3 4475 200000 2.237500e-002
The meaning of each value is the same of the result from "bpsk.m".
The simulation result is stored in the file (BERqpsk.dat).
#########################################################
(4) Simulation of "qpsk_fading.m"
#########################################################
This program simulates the transmission performance of QPSK under Rayleigh fading environment.
(a) Set paremeters
First of all, we set simulation parameters in "qpsk_fading.m".
%******************** Preparation part **********************
sr=256000.0; % Symbol rate 256 ksymbol/s
ml=2; % Number of modulation levels
br=sr.*ml; % Bit rate (=symbol rate in this case)
nd = 1000; % Number of symbols that simulates in each loop
ebn0=10; % Eb/N0
IPOINT=8; % Number of oversamples
%******************* Fading initialization ********************
% If you use fading function "sefade", you can initialize all of parameters.
% Otherwise you can comment out the following initialization.
% The detailed explanation of all of valiables are mentioned in Program 2-8.
% Time resolution
tstp=1/sr/IPOINT;
% Arrival time for each multipath normalized by tstp
% If you would like to simulate under one path fading model, you have only to set
% direct wave.
itau = [0];
% Mean power for each multipath normalized by direct
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移动通信仿真及软件无线电(matlab代码)
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移动通信仿真及软件无线电(matlab代码) (107个子文件)
ofdmce.asv 5KB
qam16.asv 3KB
BERofdm.dat 590B
BERofdmce.dat 88B
BERqam.dat 44B
BERqamfad.dat 44B
BER.dat 43B
dcamain.m 9KB
ofdmci.m 6KB
dscdma.m 6KB
main.m 6KB
main.m 6KB
ofdmce.m 5KB
ofdm_fading.m 5KB
gmsk_fading.m 5KB
oqpsk_fading.m 5KB
msk2_fading.m 5KB
qpsk_fading.m 5KB
msk_fading.m 5KB
ofdmda.m 5KB
qam16_fading.m 4KB
bpsk_fading.m 4KB
graph.m 4KB
bpskev.m 4KB
ofdm.m 3KB
snpisma.m 3KB
gmsk.m 3KB
oqpsk.m 3KB
qpsk.m 3KB
msk2.m 3KB
msk.m 3KB
qam16.m 3KB
bpsk.m 3KB
npcsma.m 3KB
interwave.m 2KB
saloha.m 2KB
paloha.m 2KB
fade.m 2KB
fade.m 2KB
fade.m 2KB
fade.m 2KB
sefade.m 2KB
sefade.m 2KB
sefade.m 2KB
sefade.m 2KB
qamdemod.m 2KB
wrap.m 2KB
hrollfcoef.m 2KB
hrollfcoef.m 2KB
position.m 1KB
basest.m 1KB
shift.m 1KB
mseq.m 1KB
qammod.m 1KB
theorys.m 1KB
carriersense.m 1KB
gaussf.m 1KB
cellmesh.m 1017B
despread.m 1013B
spread.m 1004B
hu.m 925B
qpskmod.m 914B
qpskmod.m 914B
qpskmod.m 914B
inhibitsense.m 872B
giins.m 846B
girem.m 777B
delay.m 743B
delay.m 741B
delay.m 741B
delay.m 741B
crmapping.m 739B
qpskdemod.m 723B
qpskdemod.m 723B
qpskdemod.m 723B
compoversamp2.m 722B
comb2.m 718B
crdemapping.m 706B
distance.m 702B
compoversamp.m 684B
disper.m 671B
crosscorr.m 670B
compconv2.m 663B
comb.m 658B
comb.m 658B
comb.m 658B
goldseq.m 650B
autocorr.m 624B
antgain.m 604B
compconv.m 562B
oversamp2.m 507B
oversamp.m 497B
stationInit.m 438B
main.m 410B
set_D.m 372B
mvalue.m 370B
dist.m 328B
holdtime.m 278B
shadow.m 272B
test.m 64B
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