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P31Q
DIGITAL COMMUNICATIONS
LECTURE 8 |
BASIS FUNCTION
Let us define a basis function of unit energy
(a) Show that the energy of the signal
is 1 joule. (b)
Express
and
in terms of
.
BPSK SIGNALS
From the student excercise, we note that ,
Thus, as expected, the energy within each signal is simply because the basis
function has unit energy. Click here for further
explanation.
SIGNAL CONSTELLATION
Since we only require a single basis
function to represent both signals, the signal
constellation diagram is only one-dimensional. The coordinate on this signal space
is given by
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where is the received signal from the channel. This signal
given by
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where is either
or
, and n(t) is
the noise signal.
If there is no noise in
the channel i.e. n(t) = 0, then is either
or
.
For =
, we find that
For =
, we find that
The corresponding signal constellation diagram is shown below
The two solid dots are referred to as signal points. |
Under noisy
conditions, the received signal
will be
corrupted. In this case, the coordinate
for a given
, will not lie on a signal
point. It will in fact lie on either side of a the signal point
depending on the nature of the noise within the
channel.
The noise signal n(t) represents
an Additive White Gaussian Noise (AWGN) channel. It will be discussed in further detail in
lecture 15. For now its sufficient to know that its effect is to make the
probability distribution of Gaussian. Click here for a further explanation
by example.
The probability distribution of the two signal points if the BPSK signals are transmitted through an AWGN channel is shown below
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A probability distribution curve is very
useful. For example, the shaded area shown is the probability with
which ![]() |
COHERENT BPSK RECEIVER
Based on the signal constellation diagram shown in the previous section, we can now create a BPSK receiver as shown below.
The received signal is multiplied by the basis
function and integrated over the duration of the signal to determine the
coordinate
on the signal constellation
diagram i.e.
If is greater than or equal to
0, then the receiver decides that a binary digit '1' must have been sent. Otherwise, it decides
that a binary digit '0' sent must have been
sent. This form of decision making is referred to as Hard-decision.