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Sub-Optimum Receivers

A binary communication system employs the following signals to communicate two equally likely messages over an additive white Gaussian noise channel with spectral height $\frac{N_0}{2}$:

\begin{displaymath}\begin{array}{l}
s_0(t) = \left\{
\begin{array}{cl}
At & \mbo...
... t \leq T$ }\\
0 & \mbox{else}
\end{array}\right.
\end{array}\end{displaymath}

1.
Draw a block diagram of the optimum receiver.
2.
Compute the probability of error achieved by your receiver from part (a).
3.
Consider now the following suboptimum receiver:

\begin{picture}(100,30)
\setlength{\unitlength}{1mm}
\put(0,10){\vector(1,0){12...
...90,10){\vector(1,0){10}}
\put(98,11){\makebox(0,0)[b]{$\hat{b}$ }}
\end{picture}
where g(t) is given by

\begin{displaymath}g(t) = \left\{
\begin{array}{cl}
1 & \mbox{for $0 \leq t < T$ }\\
0 & \mbox{else.}
\end{array}\right.
\end{displaymath}

Find the distribution of R for both cases, s0(t) was transmitted and s1(t) was transmitted.
4.
Find the probability of error of the suboptimum receiver and compare with that of the optimum receiver.
5.
If $g(t) = \sin(\pi \frac{t}{T})$ were used in the sub-optimum receiver, would the resulting probability of error be larger or smaller than the probability of error achieved with the g(t) in part (c)? Explain.



Prof. Bernd-Peter Paris
2002-04-22