EEE 360 Communication Systems I

1. EEE 360 Communication Systems I Course Contents • Chapter 1: Introduction • Chapter 2: Signals and Spectra • Chapter 3: Base Band Pulse and Digital Signaling • Chapter 4: Band Pass Signaling Principles & Circuits • Chapter 5: AM, FM and Digital Modulated Systems. Lecturer: Prof. Dr. Erhan A. İnce Eeng360 Communication Systems I Department of Electrical and Electronic Engineering Eastern Mediterranean University

2. Chapter 1 INTRODUCTION Chapter Objectives: • How communication systems work. • Frequency allocation and propagation characteristics. • Computer solutions using MATLAB. • Information measure. • Coding performance. Lecturer: Prof. Dr. Erhan A. İnce Eeng360 Communication Systems I Department of Electrical and Electronic Engineering Eastern Mediterranean University

3. What is a communication system?. • Communication systems are designed to transmit information from one place to an other. • Communication systems and design concerns: • Selection of information–bearing waveform; • Bandwidth and power of the waveform; • Effect of system noise on the received information; • Cost of the system.

4. x(t) t x(nT) n Analog Digital Digital and Analog Sources and Systems Basic Definitions: • Analog Information Source: An analog information source produces messages which are defined on a continuum (space-time). (e.g. Microphone) • Digital Information Source: A digital information source produces a finite set of possible messages. (e.g. Typewriter) Output of a sample and hold circuit

5. Digital and Analog Sources and Systems • A digital communication systemtransfers information from a digital source to the intended receiver (also called the sink). • An analog communication systemtransfers information from an analog source to the sink. • Adigital waveformis defined as a function of time that can have a discrete set of amplitude values. • An Analog waveformis a function that has a continuous range of values.

6. Digital Communication • Advantages • Relatively inexpensive digital circuits may be used; • Privacy is preserved by using data encryption; • Data from voice, video, and other sources may be merged and transmitted over a common digital transmission system; • In long-distance systems, noise dose not accumulate from repeater to repeater. Data regeneration is possible • Errors in detected data may be small, even when there is a large amount of noise on the received signal; • Errors may often be corrected by the use of coding. • Disadvantages • Generally, more bandwidth is required than that for analog systems; • Synchronization is required.

7. Synchronization A continuous stream of data signals is generally accompanied by timing signals (generated by an electronic clock) to ensure that the transmitter and the receiver are in step (synchronized) with one another. The data is sent in blocks (called frames or packets) spaced by fixed time intervals. In contrast, asynchronous transmission works in spurts and must insert a start bit before each data character and a stop bit at its termination to inform the receiver where it begins and ends. Most network protocols (such as Ethernet, SONET, Token Ring) use synchronous transmission whereas asynchronous transmission is used commonly for communications over telephone lines.

8. What is needed to decode the received signal? The receiver will have to determine where a signal cell (representing a bit) starts and ends in order to sample the signal as near at the middle of the signal as possible. It will have to know where a character or a byte starts or ends and, for packet based transmission, where each message block starts or ends. Finding out where a signal cell starts and ends is known as bit or clock synchronization, determining the character boundaries is known as character or byte synchronization and the last task is called block or frame synchronization.

9. Clocks running out of synchronization Imagine a communication system with two Data Terminal Equipments (DTEs) that have a major difference in the speed of their system clocks. The receiver's clock is running 12,5% ahead of time than the sender's one. If the sender transmits a 8-bit word, the receiver will interpret it as a 9-bit word But as you have seen in the graphic above, the receiver will not only sample to many bits, but it will also sample the wrong bits.

10. Fig 1a Transmitter and Receiver Clocks The transmitted signal (Fig. 1a) consists of data that is clocked out at a rate determined by the transmitter clock. Signal transitions between zero and peak values contain the clocking information and detecting these transitions allows the clock to be recovered at receiver Fig 1b

12. All problems in digital networks, including poor synchronization, are manifested as errors. • Examples of the results of poor synchronization are • Degraded speech quality and audible clicks • Degraded data traffic throughput • Call setup and management problems • Corrupt or incomplete fax messages • Low dialup modem speeds • Frozen-frames and audio pops on video transmissions • Call disconnects during mobile call hand-off • Partial or complete traffic stoppage

13. Encoding and Decoding for Digital Communication • Coding involves adding extra (redundant) bits to data to detect and/or correct errors at the output of the receiver.The disadvantage of these extra bits is to increase the data rate and the bandwidth of the encoded signal. We can also say it reduces the data rate if bandwidth is kept fixed. General Digital Communication System

14. Deterministic and Random Waveforms • Adeterministic waveformcan be modeled as a completely specified function of time. • Arandom waveform(or stochastic waveform) cannot be modeled as a completely specified function of time and must be modeled probabilistically. • In this course we will focus mainly on deterministic waveforms.

15. Receiver Transmitter Block Diagram of A Communication System • All communication systems contain three main sub systems: • Transmitter • Channel • Receiver

16. Block Diagram of A Communication System TRANSMITTER: • Thesignal-processing blockis used for more efficient transmission. Examples: • In an analog system, the signal processor may be an analog low-pass filter to restrict the bandwidth of m(t). • In a hybrid system, the signal processor may be an analog-to-digital converter (ADC) to produce digital signals that represent samples of the analog input signal. • Thetransmitter carrier circuitconverts the processed base band signal into a frequency band that is appropriate for the transmission medium of the channel. Example: • An amplitude –modulated (AM) broadcasting station with an assigned frequency of 850 kHz has a carrier frequency fc=850kHz. The mapping of the base band input information waveform m(t) into the band pass signal s(t) is called modulation. It will be shown that any band pass signal has the form If R(t)=1 and θ(t) = 0, s(t) would be a pure sinusoid of frequency f=fc with zero bandwidth.

17. Receiver Transmitter Block Diagram of A Communication System Channel: • Channels represents the path in which signals travel from transmitter to receiver. Very general classification of channels are: • Wire:Twisted-pair telephone line, coaxial cable, waveguide (microwave communication), and fiber-optic cables. • Wireless:Air, vacuum and seawater. In general, the channel medium attenuates the signal so that the delivered information deteriorated from that of the source. The channel noise may arise from natural electrical disturbances or from artificial sources.

18. Receiver Transmitter Block Diagram of A Communication System Receiver: • The receiver takes the corrupted signal at the channel output and converts it to be a base band signal that can be handled by the receiver’s base band processor. • The base band processor cleans up this signal and delivers an estimate of the source information m(t) to the communication system output. • In digital systems, the measure of signal deterioration is usually taken to be the probability of bit error P(e) – also calledBit Error Rate (BER) of the delivered data m(t). • In analog systems, the performance measure is usually taken to be theSignal-to-noise Ratio (SNR)at the receiver output.

19. What makes a Communication System GOOD • We can measure the“GOODNESS”of a communication system in many ways: • How close is the estimate to the original signal m(t) • Better estimate = higher quality transmission • Signal to Noise Ratio (SNR) for analog m(t) • Bit Error Rate (BER) for digital m(t) • How much power is required to transmit s(t)? • Lower power = longer battery life, less interference • How much bandwidth B is required to transmit s(t)? • Less B means more users can share the channel • Exception: Spread Spectrum -- users use same B. • How much information is transmitted? • In analog systems information is related to B of m(t). • In digital systems information is expressed in bits/sec.

21. Frequency Bands • Regulations specify, modulation type, bandwidth, power, type of information and etc. that a user can transmit over designed frequency bands. • Frequency assignments and technical standards are set internationally by International Telecommunication Union (ITU). • Each nation of ITU retains sovregnity over spectral usage and standards adopted in its territory. • Each nation is expected to abide by the overall frequency plan adopted by ITU.

22. The entire range of electromagnetic radiation frequenciesis called the electromagnetic spectrum. • Thefrequency range suitable for radio transmission, the radiospectrum, extends from 10 kilohertz to 300,000 megahertz. • It is divided into a number of bands, as shown in the next slide.

23. Allocation of Radio Spectrum (Frequency Allocations) wavelength frequency

24. Propagation of Electromagnetic Waves • The propagation characteristics of electromagnetic waves used in wireless channels are highly dependent on the frequency. • Based on carrier frequency EM wave propagations can be classified as: • GROUND-WAVE PROPAGATION • SKY-WAVE PROPAGATION • Line of Sight (LOS) PROPAGATION

25. Ionized Regions Above Earth. • Ionization of air is caused by UV rays from the sun. • Ionized air shows different properties at different levels (Density and pressure). • Speed of the wave differs with the changing properties. • Dominant regions are named as D, E, F1 and F2 .

26. The Sun and the Ionosphere Sunspots affect the ionosphere because the areas around the spots emit greater amounts of the ultraviolet radiation—the main cause of ionization. In the ionosphere, solar radiation (mainly ultraviolet light) is so intense that when it strikes gas molecules they split—ionize—and an electron is set free. The D Layer This layer acts as an attenuator, especially at low frequencies. In fact, the attenuation varies as the inverse square of the frequency. That is, doubling the frequency reduces the level of attenuation by a factor of four. This is why low-frequency signals are prevented from reaching the higher layers, except at night when the D layer disappears.

27. Signals are attenuated as they pass through the D layer because they cause free electrons to vibrate. When this occurs, the electrons collide with other molecules, consuming a small amount of energy and dissipating a proportionately small amount of the radio signal. We can see that the level of attenuation depends upon the number of collisions that take place. In turn, this depends on a number of other factors. One of the most obvious is the number of gas molecules that are present. More gas molecules mean more collisions and increased attenuation. Ionization levels are also important, as is the frequency of the radio signal. As frequency increases, wavelengths become shorter and collisions between free electrons and gas molecules decrease. As a result, low-frequency signals are attenuated far more than those at higher frequencies.

28. GROUND-WAVE PROPAGATIONor Surface Wave Propagation • Dominant mode of propagation for frequencies below 2 MHz. • Diffraction of the wave causes the wave to propagate along the surface of the earth. • This propagation mode is used in AM Radio Broadcasting. • Diffraction of waves in “D” layer helps propagation along the surface of earth.

29. Diffraction Diffraction refers to various phenomena that occur when a wave encounters an obstacle or a slit. It is defined as the bending of light around the corners of an obstacle or aperture into the region of geometrical shadow of the obstacle

30. Polorization Radio waves produce both electric and magnetic fields. The direction of the electric component of the field is called the polarizationof the electromagnetic field. Thus, if theelectric component is vertical, the wave is said to be “vertically polarized,” and if horizontal, “horizontallypolarized.” A wave traveling through space may be polarized in any direction. One traveling along the surface of the Earth isalways vertically polarized because the Earth, a conductor,short-circuits any horizontal component. The magnetic fieldand the electric field are always mutually perpendicular.

32. SKY-WAVE PROPAGATION • Dominant mode of propagation for EM waves in the frequency range of 2 MHz to 30 MHz. • Long coverage is obtained by reflection of wave at the ionosphere and at the Earth’s boundary. • This mode is used in HF band International Broadcasting (Shortwave Radio). • Sky-wave propagation is caused primarily by reflection from the F layer (90 to 250 miles in altitude).

33. Reflection vs RefractionThe phenomenon of a light beam rebounding after hitting a surface is called reflection. To put it simply, the mirror images are what are called reflection generally. The light beam that hits the surface is called incident ray. The light beam that leaves the surface is called the reflected ray. There’s another phenomenon called refraction. Here, the light changes direction, or ‘bends’ as it passes through the boundary between these two media. The images that are witnessed through the glass/see-through objects are a result of refraction.

34. SKY-WAVE PROPAGATION • The refraction index of the ionosphere can be approximated as Where, n -- Refractive index, N -- Free electron density (number of electrons/m3) ( ~ 1010/m3) f -- Frequency of the wave (Hz). • Refractive index will change gradually with the altitude.

35. Traveling waves will gradually bend according to Snell’s law. nr Sin φr = niSin φi • Waves will be bent back to earth. Ionosphere acts as a reflector. Transmitting station will have coverage areas along the surface of earth.

36. LINE-OF SIGHT (LOS) PROPAGATION • Dominant mode of propagation for EM waves above 30 MHz. • Since the frequency is high, f2>> 81 N so thatn ≈ 1( Free Space) • This mode can be used in Satellite Communications. • The disadvantage of LOS is that the signal path has to be above the horizon and the receiver antennas need to be placed on tall towersso that they can see each other.

37. Earth stations are designed to receive and transmit signals from or to a satellite in orbit.

38. Satellites can be in three different orbits • Geostationary orbit (geosynchronous orbit) • Polar circular orbit • Inclined highly elliptical orbit In this type of orbit the satellite takes 24 hours to circle once around the earth. Since period of revolution of the satellite is equal to the period of rotation of the earth the satellite appears stationary.

41. Goes over the poles and scans the whole earth in every 12 hours. Satellites used for weather monitoring is launched into polar circular orbits.

42. It is used for establishing communications with regions that are at high altitudes.

43. LOS Calculations • Let’s assume d = Distance to the horizon; h = Antenna height... r = Effective radius of earth Where h << r • Effective radius of earth = 4/3 * real radius Effective radius of earth r = 4/3 * 3960 = 5280 miles Converting feet to mile Example: For a television station with an h=1000 ft tower, d = √(2000) = 44.7 miles. The transmitter will cover an area of 44.7 miles around.

44. Measuring Information • Definition:Information Measure (Ij) The information sent from a digital source (Ij) when the jth massage is transmitted is given by: where Pjis the probability of transmitting the jth message. • Messages that are less likely to occur (smaller value for Pj) provide more information (large value of Ij). • The information measure depends on only the likelihood of sending the message and does not depend on possible interpretation of the content. • For units of bits, the base 2 logarithm is used; • if natural logarithm is used, the units are “nats”; • if the base 10 logarithm is used, the units are “hartley”.

45. Measuring Information • Definition: Average Information(H) The average information measure of a digital source is, • where m is the number of possible different source messages. • The average information is also called Entropy. information sent from a digital source when the jth massage is transmitted : (Ij) • Definition: Source Rate (R) The source rate is defined as, • where H is the average information • T is the time required to send a message.

46. Measuring Information-Example1.1 • Find the information content of message that consists of a digital word 12 digits long in which each digit may take on one of four possible levels. The probability of sending any of the four levels is assumed to be equal, and the level in any digit does not depend on the values taken on by pervious digits. Answer: Possible combinations of 12 digits ( # of possible messages) = 412 Because each level is equally likely, all different words are equally likely.

47. Channel Capacity & Ideal Comm. Systems • For digital communication systems, the “Optimum System” may defined as the system that minimize the probability of bit error at the system output subject to constraints on the energy and channel bandwidth. • Is it possible to invent a system with no error at the output even when we have noise introduced into the channel? Yes under certain assumptions !. • According Shannon the probability of error would approach zero, if R< C Where • R - Rate of information (bits/s) • C - Channel capacity (bits/s) • B - Channel bandwidth in Hz and • S/N - the signal-to-noise power ratio Capacity is the maximum amount of information that a particular channel can transmit. It is a theoretical upper limit. The limit can be approached by using Error Correction

48. Channel Capacity & Ideal Comm. Systems ANALOG COMMUNICATION SYSTEMS In analog systems, the OPTIMUM SYSTEM might be defined as the one that achieves the Largest signal-to-noise ratio at the receiver output, subject to design constraints such as channel bandwidth and transmitted power. Question: Is it possible to design a system with infinite signal-to-noise ratio at the output when noise is introduced by the channel? Answer: No! DIMENSIONALITY THEOREM for Digital Signalling: Nyquist showed that if a pulse represents one bit of data, non-interfering pulses can be sent over a channel no faster than 2B pulses/s, where B is the channel bandwidth.

49. Problems

50. Problems