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INTRODUCTION TO DIGITAL COMMUNICATIONS
The purpose of a Communication System is to transfer an informatio n bearing signa l from a
source to a user destination via a communication channel.
MODEL OF A COMMUNICATION SYSTEM (ANALOG)
Fig 1.1 Block diagram of Communication System.
The three basic elements of communication systems are
Transmitter Receiver and
Channel.
The Overall purpose of this system is to transfer information from one point (called
Source) to another point, the user destination.
The message produced by a source, normally, is not electrical. Hence an input transducer
is used for converting the message to a timevarying electrical quantity called message
signal. Similarly, at the destination point, another transducer converts the electrical waveform to the appropriate message.
The transmitter is located at one point in space, the receiver is located at some other point
separate from the transmitter, and the channel is the medium that divides the electrical connection between them.
The purpose of the transmitter is to transform the message signal produced by the source of
information into a form suitable for transmission over the channel. The received signal is normally corrupted version of the transmitted signal, which is due to channel imperfections,
noise and interference from other sources. The receiver has the task of operating on the received signal so as to reconstruct a recognizable form of the original message signal and to deliver it to the user destination.
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Communication Systems are divided into 3categories:
1. Analog Communication Systems are designed to transmit analog information
using analog modulation methods.
2. Digital Communication Systems are designed for transmitting digital
information using digital modulation schemes, and
3.Hybrid Systems that use digital modulation schemes for transmitting sampled and quantized values of an analog message signal.
ELEMENTSOFDIGITALCOMMUNICATIONSYSTEMS:
The figure 1.2 shows the functional elements of a digita l communication system.
Source of Information:
The source of information to be transmitted may be either analog or discrete. An analog
source produces time-continuous signals, while a discrete source produces sequences of
discrete symbols. Examples of signals from an analog source are speech signals, radar
outputs, and photographic scan data. Typical discrete sources are computer data files and
messages generated at teleprinter terminals.
1.Analog Information Sources.
2.Digital Information Sources.
Analog Information Sources Microphone actuated by a speech, TV Camera
scanninga scene, continuous amplitude signals. Digital Information SourcesThese are tele type or the numerical output o f
Computer which consists of a sequence of discrete symbols or letters.
An Analog information is transformed into a discrete information through the process
of sampling and quantizing.
DigitalCommunicationSystem
Fig1.2:BlockDiagramofa DigitalCommunicationSystem
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SOURCE ENCODER/DECODER:
The Source encoder ( or Source coder) converts the input i.e. symbol sequence into a binary
sequence of 0 s and 1 s by assigning code words to the symbols in the input sequence.
For eg. :-If a source set is having hundred symbols, then the number of bits used
to represent each symbol will be 7 because 27=128 unique combinations are available. The
important parameters of a source encoder are block size, code word lengths, average data
rate and the efficiency of the coder (i.e. actual output data rate compared to the
minimum achievable rate)
At the receiver, the source decoder converts the binary output of the channel decoder into a
symbol sequence. The decoder for a system using fixed length code words is quite
simple, but the decoder for a system using variable length code words will be very
complex.
Aim of the source coding is to remove the redundancy in the transmitting
information, so that bandwidth required for transmission is minimized. Based on the
probability of the symbol code word is assigned. Higher the probability, shorter is the
codeword.
Ex: Huffman coding.
CHANNEL ENCODER/DECODER:
Error control is accomplished by the channel coding operation that consists of
systematically adding extra bits to the output of the source coder. These extra bits do not
convey any information but helps the receiver to detect and/or correct some of the errors in
the information bearing bits. There are two methods of channel coding:
1.BlockCoding:The encoder takes a block of k information bits from the source
encoder and adds r error control bits, where r is dependent on k and error control
capabilities desired.
2.Convolution Coding:The information bearing message stream is encoded in a
continuous fashion by continuously interleaving information bits and error control
bits.
The Channel decoder recovers the information bearing bits from the coded binary stream.
Error detection and possible correction is also performed by the channel decoder. The
important parameters of coder / decoder are: Method of coding, efficiency, error control
capabilities and complexity of the circuit. MODULATOR: The Modulator converts the input bit stream into an electrical waveform s uita ble for
transmission over the co mmunication channel. Modulator can be effectively used to minimize the effects of channel noise, to match the frequency spectrum of transmitted
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signal with channel characteristics, to provide the capability to multiplex many signals. DEMODULATOR:
The extraction of the message fro m the information bearing waveform produced by the
modulation is accomplished by the demodulator. The output of the demodulator is bit
stream. The important parameter is the method of demodulation.
CHANNEL:
The Channel provides the electrical connection between the source and des tina tion.The
different channels are:
Pair of wires
Coaxial cable
Optical fibre
Radio channel
Satellite channel or combination of any o f these.
The communication channels have only finite Bandwidth, non- idea l frequency response,
the signal of ten suffers amplitude and phase distortion as it travels over the channel.
Also,the signal power decreases due to the attenuation of the channel.
The signal is corrupte d by unwanted, unpredictable electrical signals referred
to as noise.
The important parameters of the channel are Signal to Noise power Ratio (SNR),
usable bandwidth, amplitude and phase response and the statistical properties of noise.
Advantages of Digital Communication
1. The effect of distortion, noise and interfe rence is less in a digita l communication
sys te m. T his is because the disturbance must be large enough to change the pulse
from one state to the other.
2. Regenerative repeaters can be used at fixed distance along the link, to identify and
regenerate a pulse before it is degraded to an ambiguous state.
3. Digital circuits are more reliable and cheaper compared to analo g circuits.
4. The Hardware implementation is more flexible than analog hardware because of the
use of microprocessors, VLSI chips etc.
5. Signal processing functions like encryption, compression can be employed to
maintain the secrecy of the information.
6. Error detecting and Error correcting codes improve the system performance by
reducing the probability of error.
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7. Combining digital signals using TDM is simpler than co mbining analog signals
us ing FDM. The different types of signals such as data, telephone, TV can be treated as identical signals in transmission and switching in a digital communication system.
8. We can avoid signal jamming using spread spectrum technique.
DisadvantagesofDigitalCommunication:
1. Large System Bandwidth:- Digital transmission requires a large system bandwidth
to communicate the same information in a digital format as compared to analog
format.
2. System Synchronization:-Digital detection requires system synchronization
where
as the analog signals generally have no such requirement.
PULSE MODULATION
Pulse Digital Modulation:
Transmitting digital signals has many advantages than transmitting analog signals over a
channel. In order to transmit the digital signals, analog signals are to be digitised. The scheme
that converts the analog signals to its corresponding digital form (analog to digital
conversion) is known as Pulse Digital Modulation. Various schemes/ techniques that are
employed to represent analog signals in digital format are known as Waveform Coding
Techniques.
WAVEFORM CODING TECHNIQUES:
Various types of modulation techniques are:
1) Pulse Code Modulation (PCM)
2) Differential Pulse Code Modulation (DPCM)
3) Delta Modulation (DM)
4) Adaptive Delta Modulation (ADM)
Note: Here, modulation doesnt reflect the meaning of conventional modulation in which the
parameter of message signal are varied with respect to carrier signal as done in the case of
Amplitude Modulation (AM), Frequency Modulation (FM), etc...These waveform coding
techniques are called baseband modulation techniques which imply that the signals are
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represented in digital form and no parameter of signal is changed. The output of these
techniques is a baseband signal.
Baseband Signal: Signals of low frequencies are baseband signals. In general, they are not
used for communication directly as they cant travel long distances. The output of the above
mentioned techniques is a baseband signal which is to be further processed (modulated) using
modulation techniques like ASK, PSK, FSK, etc... for transmitting over a channel effectively.
1) Pulse Code Modulation (PCM):
PCM is a method used to digitally represent sampled analog signals. The block diagram of
PCM is shown in the figure.
A PCM system has 3 main parts.
1) Transmitter
2) Transmission path
3) Receiver
PCM Transmitter:
It includes,
a) Low Pass Filter (LPF)
b) Sampler
c) Quantizer
d) Encoder
The blocks are as shown below.
https://en.wikipedia.org/wiki/Digitalhttps://en.wikipedia.org/wiki/Analog_signalwww.klu13.in
LPF: The analog signal is first passed into a LPF of cut-off frequency fm Hz which filters all
the frequencies above fm Hz. This implies that a signal is now band limited. It avoids aliasing
effect. So, it is called as anti-aliasing filter.
Sampler: Samples a continuous band limited analog signal at discrete intervals. The spacing
between the samples must follow the Nyquist Criteria i.e. Ts fm/2, where Ts is the sampling
time and fm is the highest signal frequency of band limited analog signal.
Quantizer: The sampled signal is now to be discretized in amplitude levels, called
quantization. This block quantizes the sampled band limited signal. The amplitude levels are
rounded off to nearest integer. This leads to an error called Quantization error. The process
is shown in figure. Below figure shows a 4-bit sampling and quantization.
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Quantization is of 2 types.
i) Uniform Quantization: The amplitude levels are discretized at regular intervals
having equal spacing between them i.e. the step size remains same throughout the
input range. n.
ii) Non-uniform Quantization: The amplitude levels are discretized at irregular
intervals having unequal spacing between them i.e. the step size varies according
to the input signal values. The use of non-uniform quantization is equivalent to
passing a baseband signal through a compressor and then applying compressed
signal to a uniform quantizer. Then the signal is then expanded and the whole
process is known as companding.
Companding = compressing + expanding
Companding can be achieved through 2 methods.
-law companding
A-law companding
-law companding:
It is defined as,
Where
m is the normalized input voltage
v is the normalized output voltage
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is a positive constant.
The practically used value of is 255. The case of uniform quantization arises when =0.
The graph of companding characteristics of a - law for 3 different values of is given in fig
(a) below. The reciprocal slope of the compression curve which defines the quantum steps is
given by derivative of |m| w.r.t |v| as,
We can hence observe that - law is neither strictly (except at =0) linear nor logarithmic
(except at =255). For |m| >1 it is
approximately logarithmic.
A-law companding:
It is defined as,
Where m and v are normalized input and output voltages and A is a positive constant. The
practically used value of A is 87.56. The case of uniform quantization arises when A=1.The
graph of companding characteristics of a A- law for 3 different values of A is given in fig (b)
above. The reciprocal slope of the compression curve which defines the quantum steps is
given by derivative of |m| w.r.t |v| as,
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At A=1 the characteristics are strictly linear corresponding to uniform quantization.
Quantizers are of 2 types.
i) Mid Tread Quantizer
ii) Mid Rise Quantizer
Note: Sampler and Quantizer are together known as Analog to Digital Converter (ADC).
Encoder: This converts the digital signal into a series of bit streams, usually called an n-bit
binary code word. In a binary code, each symbol may have either logic 0 or logic 1. There are
various formats to represent the binary sequence and are called line codes.
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PCM Transmission Path:
The path between PCM Tx and PCM Rx over which a PCM signal travels is called PCM
Transmission path. The important feature of PCM system lies in its ability to contro l the
effects of distortion and noise when PCM wave travels on channel. The capability is
accomplished by reconstructing PCM wave using regenerative repeaters located at
sufficiently close spacing along the transmission path.
The block diagram of a repeater is shown in the figure below.
3 basic functions of regenerative repeater are:
Equalization
Timing
Decision Making
The equalizer shapes the received pulses so as to compensate for the effects of amplitude and
phase distortions produced in the channel.
Timing circuit provides periodic pulse train derived from the received pulses for sampling the
equalized pulses at instants of time where SNR is maximum.
The decision device is enabled when the amplitude of equalized pulse (along with noise)
exceeds a predetermined voltage level. The signal is reconstructed when the amplitude
exceeds the predetermined level.
PCM Receiver:
Operations of a PCM receiver are,
Regeneration
Decoding
Reconstruction
The block diagram is as shown below.
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The received pulse is reshaped (regenerated). The clean pulses are regrouped into code words
and decoded into a quantized PAM signal. In the reconstruction part the decoded signal is
passed into a low pass reconstruction filter whose cut-off frequency is equal to bandwidth
(W) of the message, to recover the analog signal.
1) Effect of noise is reduced.
2) PCM permits the use of pulse regeneration.
3) Multiplexing of various PCM signals is possible
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