electrical contractor near

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203 centers. Consequently, networks of antennas sprinkle the countryside (each located on the highest hill possible) to provide long-distance wireless communications: Each antenna receives energy from one antenna and retransmits to another. This kind of network is known as a relay network.

6.6 The Ionosphere and Communications7 If we were limited to line-of-sight communications, long distance wireless communication, like ship-to-shore communication, would be impossible. At the turn of the century, Marconi, the inventor of wireless telegraphy, boldly tried such long distance communication without any evidence — either empirical or theoretical — that it was possible. When the experiment worked, but only at night, physicists scrambled to determine why (using Maxwell’s equations, of course). It was Oliver Heaviside, a mathematical physicist with strong engineering interests, who hypothesized that an invisible electromagnetic “mirror” surrounded the earth. What he meant was that at optical frequencies (and others as it turned out), the mirror was transparent, but at the frequencies Marconi used, it reflected electromagnetic radiation back to earth. He had predicted the existence of the ionosphere, a plasma that encompasses the earth at altitudes hi between 80 and 180 km that reacts to solar radiation: It becomes transparent at Marconi’s frequencies during the day, but becomes a mirror at night when solar radiation diminishes. The maximum distance along the earth’s surface that R −1 , which ranges between 2,010 and can be reached by a single ionospheric reflection is 2R cos R + hi 3,000 km when we substitute minimum and maximum ionospheric altitudes. This distance does not span the United States or cross the Atlantic; for transatlantic communication, at least two reflections p would be 2 2Rhi + hi 2 , required. The communication delay encountered with a single reflection in this channel is c which ranges between 6.8 and 10 ms, again a small time interval.

6.7 Communication with Satellites8 Global wireless communication relies on satellites. Here, ground stations transmit to orbiting satellites that amplify the signal and retransmit it back to earth. Satellites will move across the sky unless they are in geosynchronous orbits, where the time for one revolution about the equator exactly matches the earth’s rotation time of one day. TV satellites would require the homeowner to continually adjust his or her antenna if the satellite weren’t in geosynchronous orbit. Newton’s equations applied to orbiting bodies predict that the time T for one orbit is related to distance from the earth’s center R as r 2 3 GM T R= (6.20) 4π 2 where G is the gravitational constant and M the earth’s mass. Calculations yield R = 42200 km, which corresponds to an altitude of 35700 km. This altitude greatly exceeds that of the ionosphere, requiring satellite transmitters to use frequencies that pass through it. Of great importance in satellite communications is the transmission delay. The time for electromagnetic fields to propagate to a geosynchronous satellite and return is 0.24 s, a significant delay. Exercise 6.6 (Solution on p. 255.) In addition to delay, the propagation attenuation encountered in satellite communication far exceeds what occurs in ionospheric-mirror based communication. Calculate the attenuation incurred by radiation going to the satellite (one-way loss) with that encountered by Marconi (total going up and down). Note that the attenuation calculation in the ionospheric case, assuming the ionosphere acts like a perfect mirror, is not a straightforward application of the propagation loss formula (p. 201). 7 This 8 This

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7.2 Permutations and Combinations

2min
page 262

7.1 Decibels

2min
page 261

Solutions

2min
page 265

Solutions

11min
pages 255-260

6.37 Communication Protocols

3min
page 239

6.34 Message Routing

2min
page 235

6.33 Communication Networks

3min
page 234

6.31 Capacity of a Channel

2min
page 232

6.30 Noisy Channel Coding Theorem

2min
page 231

6.28 Error-Correcting Codes: Channel Decoding

5min
pages 228-229

6.26 Block Channel Coding

2min
page 225

6.24 Channel Coding

3min
page 223

6.20 Entropy

1min
page 218

6.15 Frequency Shift Keying

2min
page 212

6.13 Digital Communication

2min
page 209

6.5 Line-of-Sight Transmission

3min
page 202

6.1 Information Communication

3min
page 195

6.12 Signal-to-Noise Ratio of an Amplitude-Modulated Signal

2min
page 208

6.9 Channel Models

2min
page 205

5.16 Discrete-Time Filtering of Analog Signals

3min
page 179

5.5 Discrete-Time Signals and Systems

6min
pages 152-153

2.1 Complex Numbers

8min
pages 11-13

5.14 Filtering in the Frequency Domain

8min
pages 172-175

Solutions

2min
page 30

3.9 The Impedance Concept

2min
page 48

5.4 Amplitude Quantization

5min
pages 150-151

3.16 Power Conservation in Circuits

3min
page 62

3.12 Equivalent Circuits: Impedances and Sources

3min
page 53
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