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2005-01-21 Lecture 1 8Phân loại tín hiệu  Tín hiệu xác định và tín hiệu ngẫu nhiên  Deterministic signal: Có thể xác định giá trị của tín hiệu tại bất kỳ thời điểm nào..  Random signa

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KỸ THUẬT TRUYỀN DẪN VIBA SỐ

Nguyễn Huy Hùng Mobile: 0914908070 Email: hung_nguyenhuy@yahoo.com

nghhung@ptithcm.edu.vn

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2005-01-21 Lecture 1 2

Mục đích môn học

 Nghiên cứu các thành phần cơ bản trong quá trình phân tích và thiết

kế hệ thống viba số :

 Các kỹ thuật chủ yếu

 Formatting and source coding

 Modulation (Baseband and bandpass signaling)

 Channel coding

 Equalization

 Synchronization

 Phân tích tuyến truyền dẫn vô tuyến

 Hệ thống truyền dẫn viba số

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Tài liệu

 Course text book:

 “Digital communications” by John G Proakis

 Additional recommended books:

 “Communication systems engineering”, by John G Proakis and Masoud Salehi, Prentice Hall, 2002, 2 nd edition, ISBN: 0-13-095007-6

 “Digital communications: Fundamentals and Applications”

by Bernard Sklar,Prentice Hall, 2001,ISBN: 0-13-084788-7

 “Communication Systems, Analysis and design”, by H.P.E.Stern and S A Mahmoud, Prentice Hall, 2004, ISBN: 0-13-121929-4

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2005-01-21 Lecture 1 4

Today, we are going to talk about:

 What are the features of a Digital

communication system (DCS)?

 Why “digital” instead of “analog”?

toward designing a DCS?

 Classification of signals

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Block diagram of a digital communication system

SOURCE Info.

Transmitter

Transmitted signal

Received signal

Receiver

Received info.

Noise

Channel

Formatter Source

encoder

Channel encoder Modulator

Formatter Source

decoder

Channel decoder Demodulator

Transmitter

Receiver

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2005-01-21 Lecture 1 6

Digital communication system …

 Important features of a DCS:

 Transmitter sends a waveform from a finite set of possible waveforms during a limited time

 Channel distorts, attenuates the transmitted signal and adds noise to it

 Receiver decides which waveform was transmitted from the noisy received signal

 Probability of erroneous decision is an important measure for the system performance

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Digital versus analog

 Advantages of digital communications:

 Regenerator receiver

 Different kinds of digital signal are treated

identically

Data

Voice Media

Propagation distance

Original

pulse

Regenerated pulse

A bit is a bit!

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2005-01-21 Lecture 1 8

Phân loại tín hiệu

 Tín hiệu xác định và tín hiệu ngẫu nhiên

 Deterministic signal: Có thể xác định giá trị của tín hiệu tại bất kỳ thời điểm nào

 Random signal: Không thể xác định được giá trị của tín hiệu trước khi nó xãy ra

 Thermal noise in electronic circuits due to the random movement of electrons

 Reflection of radio waves from different layers of ionosphere

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Phân loại tín hiệu…

 Periodic and non-periodic signals

 Analog and discrete signals

A discrete signal

A non-periodic signal

A periodic signal

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2005-01-21 Lecture 1 10

Phân loại tín hiệu

 Tín hiệu năng lượng và tín hiệu công suất

 A signal is an energy signal if, and only if, it has

nonzero but finite energy for all time:

 A signal is a power signal if, and only if, it has

finite but nonzero power for all time:

 General rule: Periodic and random signals are power

signals Signals that are both deterministic and non-periodic are energy signals.

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Random process

 A random process is a collection of time functions, or signals, corresponding to various outcomes of a

random experiment For each outcome, there exists

a deterministic function, which is called a sample

function or a realization

Sample functions

or realizations (deterministic function)

Random variables

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2005-01-21 Lecture 1 12

Random process …

 Strictly stationary: If none of the statistics of the random process are affected by a shift in the time origin.

 Wide sense stationary (WSS): If the mean and autocorrelation function do not change with a shift in the origin time

 Cyclostationary: If the mean and autocorrelation function are

periodic in time.

 Ergodic process: A random process is ergodic in mean and

autocorrelation, if

and

, respectively.

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 Autocorrelation of an energy signal

 Autocorrelation of a power signal

 For a periodic signal:

 Autocorrelation of a random signal

 For a WSS process:

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2005-01-21 Lecture 1 14

Spectral density

 Energy signals:

 Energy spectral density (ESD):

 Power signals:

 Power spectral density (PSD):

 Power spectral density (PSD):

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Properties of an autocorrelation

function

 For real-valued (and WSS in case of random signals):

1. Autocorrelation and spectral density form a

Fourier transform pair

2. Autocorrelation is symmetric around zero

3. Its maximum value occurs at the origin

4. Its value at the origin is equal to the average

power or energy

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2005-01-21 Lecture 1 16

Noise in communication systems

 Thermal noise is described by a zero-mean Gaussian random process, n(t)

 Its PSD is flat, hence, it is called white noise

[w/Hz]

Probability density function

Power spectral density

Autocorrelation function

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Signal transmission through

linear systems

 Deterministic signals:

 Random signals:

 Ideal distortionless transmission:

All the frequency components of the signal not only arrive with an identical time delay, but also are amplified or

attenuated equally

Linear system

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2005-01-21 Lecture 1 18

Signal transmission … - cont’d

 Ideal filters:

 Realizable filters:

RC filters Butterworth filter

High-pass

Low-pass

Band-pass

Non-causal!

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Bandwidth of signal

 Baseband versus bandpass:

 Bandwidth dilemma:

 Bandlimited signals are not realizable!

 Realizable signals have infinite bandwidth!

Baseband signal

Bandpass signal Local oscillator

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2005-01-21 Lecture 1 20

Bandwidth of signal – cont’d

 Different definition of bandwidth:

a) Half-power bandwidth

b) Noise equivalent bandwidth

c) Null-to-null bandwidth

d) Fractional power containment bandwidth

e) Bounded power spectral density

f) Absolute bandwidth

(a) (b) (c) (d)

(e)50dB

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