EE511 FALL 2012

Group Name	AM	DSBSC	FM	DSSS	Performance
AfanBenNikky	8320	65550	21840	2048	90
AisforAwesome	8192	65536	4096	2048	77
DNZ	8192	40960	36864	2048	90
Minghao	4095	65536	32768	2048	84
ZW	9 errors	65536	34816	2048	74
VC	73 errors	65536	1 error	2048	50
Maximum	8320	65550	36864	2048	100

PROJECTS

Project A: Flat Top Sampling Model, counts ¼ of the final project. That is your whole project grade counts 20% where 15%=final project and 5% is this project A

FINAL PROJECT RESULTS

Group Name	N bits	PERFORMANCE	Date/Time	Score
AfanBenNikky (Afan Memon, Ben Reyes, Nkiruka Uzuegbunam)	1344	WINNER	121212-6:17pm	100
AisforAwesome (Joe Walbourn, Josh Cook, Matt Neal, Melody Burkhart)	1342	SECOND PLACE	121212-7:12pm	100
DNZ (David Smith, Zach Burns)	1024	FOURTH PLACE	121212-2:38pm	88
Minghao (Minghao, Wei Zhu, Weixi Ma)	1280	THIRD PLACE	121212-2:48pm	98
Maximum	1344			100
Baseline EE511	512	LAST		70

A = 30/(maxBits - 512), B = 70 - A x 512, Score = A x Nbits +B

A=0.0361, B=51.5168

SCORING:

This is a competitive format so the scoring is based on a dynamic scale. The score is SCORE = A * Nbit + B where A and B are determined from the following two equations:

100 = A * Nbmax + B

70 = A * 512 + B

where Nbmax is the highest number of bits transmitted and received without error. The baseline ran at 512 bits.

PROTOCOL for FINAL PROJECT

Student sends the bit matrix size, modulator and demodulator m files to instructor. All the files sent to the instructor have the "groupname" as a prefix so the instructor can keep the track of the individual group m files and data.

1. BIT MATRIX SIZE (student sends this to instructor): The student is ranked by the total number of bits that can be transmitted through the channel. The bit matrix is 2 dimensional. It has a length Nbit (column dimension) and a width of Nseq (row dimension). These values, named "Nbit" and "Nseq", along with a character string containing "groupname", they are stored in a file called "groupname_Bsize.mat." An example m file is

groupname_createBsize.m

Group sends instructor this m file to initiate test.

2. BIT MATRIX (instructor generates this based on groupnameBsize values): The bit matrix is generated and stored in a file called groupname_B.mat and the matrix is called B. A sample code that will generate a Nseq x Nbit bit matrix B is

Bgen12.m

I will use Bgen to generate a random sequence of bits of the size specified by the student in "groupnameBsize.mat."

3. MODULATOR (student sends the modulator m file to the instructor): A modulator m file by the name

groupname_modulator.m

will be sent to the instructor. Its input is the file named "groupname_B.mat." The program will create a 1 x N real vector "s" and a Nseq x N, bit check matrix, called "Bcheck." The signal vector will be stored in "groupname_signal.mat" and the bit check matrix is stored in "groupname_Bcheck.mat." The length is N=1048576=131072*8. The Bcheck matrix (Nseq x N) has 3 element values +1 for a bit value of "1" to be present, -1 for a bit value of "0" to be present and 0 for "don't care."

4. CHANNEL (instructor will run this program,

channel12.m

on vector s). The channel will do two things, lowpass filter and then add noise. The signal vector s0 is convolved with the Butterworth low pass filter of order 8 and fc=(N/32), yielding a bandlimited signal vector s. It also has a bandpass componet centered at f0=N/8. The noise is based on the value sigma=0.1*(max(s)-min(s)) and is generated by w=sigma*randn(1,N). The noisy vector is sn=s+w. The output of the channel will be a real one dimensional vector, "r", of size 1xN. This r vector will be stored in groupname_r.mat.

5. DEMODULATOR/BINARIZER (student sends the demodulator.m file to the instructor): A demodulator file by the name

groupname_demodulator.m

will be sent to the instructor. Its input file is groupname_r.mat. Its output will be a Nseq x N real matrix. Each row of the matrix will represent the demodulated and binarized bit stream defined in B. This output will be stored in "Bs" and saved to the file groupname_Bs.mat. NOTE: The demodulator should also binarize the signals in Bs to have values of either 1 or 0.

6. BIT CHECK (instructor will run bitcheck

bitcheck12.m

to test the students data for errors): The instructor will run a program that will input the groupname_B.mat file, groupname_Bcheck.mat file and the groupname_Bs.mat file. The program will go to each value of 1 or -1 in the Bcheck matrix and see if the associated element in the Bs matrix is (1) if Bcheck is 1, then Bs value must be 1 (above 0.5), (2) if Bcheck is -1, then Bs must be 0 (below 0.5). For each element of Bcheck that is 0 (between -0.5 and +0.5) the associated value in Bs is ignored. The resulting values will be verified with the B matrix. To be acceptable, there must not be any errors in either the number of ones and zeros or the specific bit values when compared to B. The results will be posted on the web.

Additional m files include:

binarize.m

irect.m

lp_butterworth_oN_dft.m

bp_butterworth_oN_dft.m

FAQs MATLAB:

Where is a manual for MATLAB? Try the library first. Most students only use the manual in the very beginning of their MATLAB experience. Once into it, the language is intuitive enough and there are enough sample M files that learning MATLAB is somewhat self-sustaining without manuals. Type "matlab" to execute intepreter, "help ?" to see listing of operators, "help" for listing of functions, "who" to see active variables, "what" for listing of M files and always use "clear" to start over again.

How do you initialize the dimension of a variable? One way is to initialize its values by zeros(M,N) or ones(M,N). Ex: A=zeros(10,8) is a 10 x 8 matrix of zeroes. Another function is "ones" which works the same way as "zeros". Another method is nested loop, ie., 1:5 loops from 1 to 5 so A(1:5)=3:7 will store the values 3 to 7 in the first 5 elements of A.

OLD SUPPLEMENTAL HOMEWORK AND VISUALIZATIONS

V2 DATA (ABLIST12.M)

V2 DSSS Description

Additional Problem HW 3: Nodal Analysis of BPF

V6 ISI Instructions

V7 Mixer and DSBSC Description

EE511 FALL 2012

INTRODUCTION TO COMMUNICATION SYSTEMS

SYLLABUS

HOME WORK AND CLASS SCHEDULE

LECTURE NOTES

NEW SUPPLEMENTAL HOMEWORK AND VISUALIZATIONS

V2: AM Modulation using the Final Project Simulation Architecture. Instructions, AM_createBsize.m, AM_modulator.m, AM_demodulator.m, BgenV2.m, channelV2.m, bitcheckV2.m

HW3 Supplement: Nodal Analysis of Band Pass Filter

For the HW3 supplement, don’t use the values in the pdf document, or compare with “filteral”. Instead, use fo=40Khz, Q=10, Ao= -1 and C=0.001 microfarads

V3: DSBSC Modulation using Simulation Architecture: Instructions, DSBSC_createBsize.m, DSBSC_modulator.m, DSBSC_demodulator.m, BgenV3.m, channelV3.m, bitcheckV3.m

V4: FM Modulation using Simulation Architecture: Instructions, FM_createBsize.m, FM_modulator.m, FM_demodulator.m, BgenV4.m, channelV4.m, bitcheckV4.m

V5: Direct Sequence Spread Spectrum (DSSS) Modulation using Simulation Architecture: Instructions, DSSS_createBsize.m, DSSS_modulator.m, DSSS_demodulator.m,DSSS_dsssKeygenV5.m, BgenV5.m, channelV5.m, bitcheckV5.m

GROUP PERFORMANCE FOR V4

GROUP PERFORMANCE FOR V5

Results: 11-12-2012:

Performance is the sum of the 4 components, each is weighted by a=25/maximum