In this module, we derive the discrete-time implementation of a (baseband-equivalent) digital communication system, which is useful for Matlab simulation and error-rate analysis. To do this, we use the fundamental DSP tool known as "sinc reconstruction", which says that a bandlimited waveform can be represented exactly by a sum of shifted sinc pulses. Sinc reconstruction is separately applied to the transmission pulse, the reception pulse, and the baseband equivalent channel impulse response, after which those three steps can be represented by discrete-time filtering operations. For this, we show that it is essential to sample the filters at least twice as fast as the symbol rate.
Digital implementation of transmitter pulse-shaping and receiver
filtering is much more practical than analog. First, recall the analog implementation of our digital communication system: from the module
Digital Communication .
To proceed further, we need an important DSP concept
called “sinc reconstruction”:
In other words, a bandlimited waveform can be reconstructed from its
samples via sinc pulse shaping.
Discrete-time pulse-shaping
Applying
-sampling and reconstruction to
(where the SRRC pulse bandwidth
requires
the use of
),
The sequence
, a weighted sum of
P -shifted pulses
,
can be generated by
P -upsampling
(i.e., inserting
zeros
between every pair of samples) and filtering with
:
Applying
-sampling and reconstruction to bandlimited
:
where again we need
, yields
from which
is obtained by keeping only every
sample:
i.e., downsampling.
Here
does anti-alias filtering.
Discrete-time complex-baseband channel
Finally, we derive a discrete-time representation of
the channel between
and
:
Using
to refer to the noise component of
,
it can be seen from the block diagram that
To model the signal component of
, realize that
is effectively pulse-shaped by
.
But since the frequency response of
has a flat
gain of
over the signal bandwidth, and thus the bandwidth
of
,
So, with
-sampling and reconstruction of
, i.e.,
we can write
as
yielding the discrete-time channel
Merging the discrete-time channel with the discrete-time
modulator and demodulator yields
known as the “fractionally sampled” system model.
This model is very convenient for MATLAB simulationand acts as a foundation for further analysis.
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Source:
OpenStax, Introduction to analog and digital communications. OpenStax CNX. Sep 14, 2009 Download for free at http://cnx.org/content/col10968/1.2
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