Consider a communication system where binary orthogonal signals are employed for
ID: 1810509 • Letter: C
Question
Consider a communication system where binary orthogonal signals are employed for transmission.
The signal space representations for the transmitted signals are given as follows:
s1 = (?Eb; 0) and s2 = (0; ?Eb):
The transmitted signals go through an AWGN channel. Hence, the received signal is either
r = (r1; r2) = (?Eb + n1; n2) if s1 is transmitted
or
r = (r1; r2) = (n1; ?Eb + n2) if s2 is transmitted
where n1 and n2 are Gaussian random variables with variance No / 2 .
.
Assume that the bit energy Eb = 1, and consider three cases in which the noise standard deviation
values are = 0.1; = 0.3, and = 0.5. Using Matlab, generate 300 samples of the received vector
r = (r1; r2) for both cases of s1 and s2 being transmitted and for each case of standard deviation . Plot these vectors
for each value of noise standard deviation as separate two dimensional plots with coordinates
(r1; r2), and discuss the eect of noise and its variance on the transmitted signal.
Hint: To generate the Gaussian noise samples of n1 and n2, use the built-in Matlab function
randn(m; n) which generates an m-by-n matrix with random zero mean unit variance = 1.
Gaussian components. For instance you can write
n1 = 0.1*randn(1,300)
to generate 300 zero mean Gaussian noise samples with standard deviation = 0.1
Explanation / Answer
http://www.gaussianprocess.org/gpml/code/matlab/doc/
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