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数字通信中英文翻译.doc
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毕业设计(论文)外文资料翻译
系 别: 电子信息系
专 业: 通信工程
班 级:
姓 名:
学 号:
外文出处: 网络资源
附 件: 1. 原文; 2. 译文
2013 年 03 月
Digital Communications
1 INTRODUCTION
In this book, we present the basic principles that underlie the analysis and design
of digital communication systems.The subject of digital communications involves the
transmission of information in digital form from a source that generates the
information to one or more destinations. Of particular importance in the analysis and
design of communication systems are the characteristics of the physical channels
through which the information is transmitted. The characteristics of the channel
generally affect the design of the basic building blocks of the communication system.
Below, we describe the elements of a communication system and their functions.
1.1 ELEMENTS OF A DIGITAL COMMUNICATION SYSTEM
Figure 1.1 illustrates the functional diagram and the basic elements of a digital
communication system. The source output may be either an analog signal, such as
audio or video signal, or a digital signal, such as the output of a teletype machine, that
is discrete in time and has a finite number of output characters. In a digital
communication system, the messages produced by the source are converted into a
sequence of binary digits. Ideally, we should like to represent the source output
(message) by as few binary digits as possible. In other words, we seek an efficient
representation of the source output that results in little or no redundancy. The process
of efficiently converting the output of either an analog or digital source into a
sequence of binary digits is called source encoding or data compression.
The sequence of binary digits from the source encoder, which we call the
information sequence, is passed lo the channel encoder. The purpose of the channel
encoder is to introduce, in a controlled manner, some redundancy in the binary
information sequence that can be used at the receiver to overcome the effects of noise
and interference encountered in the transmission of the signal through the channel.
Thus, the added redundancy serves to increase the reliability of the received data and
improves the fidelity of the received signal.In effect, redundancy in the information
sequence aids the receiver in decoding the desired information sequence. For example,
a (trivial) form of encoding of the binary information sequence is simply to repeat
each binary digit m times,where m is some positive integer. More sophisticated
(nontrivial) encoding involves talcing k information bits at a time and mapping each
k-bit sequence into a unique n-bit sequence, called a code word. The amount of
redundancy introduced by encoding the data in this manner is measured by the ratio
n/k.The reciprocal of this ratio, namely k/n, is called the rate of the code or,simply,
the code rate.
FIGURE 1.1 Basic elements of a digital communication system
The binary sequence at the output of the channel encoder is passed to the digital
modulator, which serves as the interface to the communications channel.Since nearly
all of the communication channels encountered in practice are capable of transmitting
electrical signals (waveforms), the primary purpose of the digital modulator is to map
the binary information sequence into signal waveforms. To elaborate on this point, let
us suppose that the coded information sequence is to be transmitted one bit at a time
at some uniform rate R bits/s. The digital modulator may simply map the binary digit
0 into a waveform s0(t) and the binary digit 1 into a waveform j,(i). In this
manner,each bit from the channel encoder is lransmitted separately. We call this
binary modulation. Alternatively, the modulator may transmit b coded information
bits at a time by using M = 2s distinct waveforms j.(r), i = 0,1 M - 1, one
waveform for each of the 2" possible 6-bit sequences. We call this M-ary modulation
(M>2). Note that a new 6-bit sequence enters the modulator every b/R seconds. Hence,
when the channel bit rate R is fixed, the amount of time available to transmit one of
the M waveforms corresponding to a 6-bit sequence is b times the time period in a
system that uses binary modulation.
The communication channel is the physical medium that is used to send the
signal from the transmitter to the receiver. In wireless transmission, the channel may
be the atmosphere (free space). On the other hand, telephone channels usually employ
a variety of physical media, including wire lines,optical fiber cables, and wireless
(microwave radio). Whatever the physical medium used for transmission of the
information, the essential feature is that the transmitted signal is corrupted in a
random manner by a variety of possible mechanisms, such as additive thermal noise
generated by electronic devices,man-made noise, e.g., automobile ignition noise,and
atmospheric noise,e.g..electrical lightning discharges during thunderstorms.
At the receiving end of a digital communications system, the digital demodulator
processes the channel-corrupted transmitted waveform and reduces the waveforms to
a sequence of numbers that represent estimates of the transmitted data symbols
(binary or M-ary). This sequence of numbers is passed to the channel decoder, which
attempts to reconstruct the original information sequence from knowledge of the code
used by the channel encoder and the redundancy contained in the received data.
A measure of how well the demodulator and decoder perform is thefrequency
with which errors occur in the decoded sequence. More precisely,the average
probability of a bit-error at the output of the decoder is a measure of the performance
of the demodulator-decoder combination. In general, the probability of error is a
function of the codc characteristics, the types of waveforms used to transmit the
information over the channci, the transmitter power, the characteristics of the channel,
i.e., the amount of noise, the nature of the interference, etc., and the method of
demodulation and decoding. These items and their effect on performance will be
discussed in detail in subsequent chapters.
As a final step, when an analog output is desired, the source decoder accepts
the output sequence from the channel decoder and, from knovtledge of the source
encoding method used, attempts to reconstruct the original signal from the source.
Due to channel decoding errors and possible distortion introduced by the source
encoder and, perhaps, the source decoder, the signal at the output of the source
decoder is an approximation to the original source output.The difference or some
function of the difference between the original signal and the reconstructed signal is a
measure of the distortion introduced by the digital communication system.
2 COMMUNICATION CHANNELS AND THEIR
CHARACTERISTICS
As indicated in the preceding discussion, the communication channel provides
the connection between the transmitter and the receiver. The physical channel may be
a pair of wires that carry the electrical signal, or an optical fiber thai carries the
information on a modulated light beam, or an underwater ocean channel in which the
information is transmitted acoustically, or free space over which the
information-bearing signal is radiated by use of an antenna. Other media that can be
characterized as communication channels are data storage media, such as magnetic
tape, magnetic disks, and optical disks.
One common problem in signal transmission through any channel is additive
noise. In general, additive noise is generated internally by components such as
resistors and solid-state devices used to implement the communication system.This is
sometimes called thermal noise. Other sources of noise and interference may arise
externally to the system, such as interference from other users of the channel. When
such noise and interference occupy the same frequency band as the desired signal, its
effect can be minimized by proper design of the transmitted signal and its
demodulator at the receiver. Other types of signal degradations (hat may be
encountered in transmission over the channel are signal attenuation, amplitude and
phase distortion, and multipath distortion.
The effects of noise may be minimized by increasing the power in the
transmitted signal. However, equipment and other practical constraints limit the
power level in the transmitted signal. Another basic limitation is the available channel
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