EE511 FALL 2007

INTRODUCTION TO COMMUNICATION SYSTEMS

12-13-07: 10:42pm

SYLLABUS

Home work and class schedule

V2 Data (ABlist07.m)

V2 DSSS Description

V5 Flat Top Sampling Model

V6 ISI Instructions

Problem: Nodal Analysis of BPF


FINAL PROJECT RESULTS

FIRST PLACE:

 

SECOND PLACE:

 

THIRD PLACE:

 

GROUP                                                                                 BITS/PACKET          DATE                         NUMBER GRADE

 

Modulating_Madness (M Howard, S Edmondson, Fiznik)            262144              12-12-07                      100

 

PECCO (S Sahraian, I Cashku, W Mullins, N. Hundley)                 114588            12-12-07                      2nd place

 

bitRsweet (B Hood, K Buchanan, C Asbery, M Phelps)                   74896              12-10-07                      3rd place

 

BitRaiders (Arcot, Kiran, Dedrick, Eric,Mallik, Kaushik)                65536              11-20-07                      80

 

GAP (D Ganapaneni, G A Ganesh, A Reddy, P Rao)                     65536               11-27-07                      80

 

MRH (Mary Pulukuri, Sri MoturuRakesh Kothakapu)                    65536              11-28-07                      80

 

EE51107 Baseline                                                                              65536              11-19-07                      80

 

 


NOT UPDATED TO 2007

SCORING: (I boosted the scores to represent the difficulty of the problem)

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

80 = A * 65536 + B

where Nbmax is the highest number of bits transmitted and received without error. The baseline ran at 16384 bits.


(NOT UPDATED TO 07) 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 "Bgen07.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, channel07.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, bitcheck07.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

V7 Mixer and DSBSC Description

 

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.