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    Introduction to RF & Wireless Communications Systems

    Publish Date: Apr 05, 2011 | 133 Ratings | out of 53.85

    Overview

    This tutorial is part of the National Instruments Measurement Fundamentals series. Each tutorial in this series teaches you a specific topic of common measurement applications by explaining the

    heory and giving practical examples. This tutorial covers an introduction to RF, wireless, and high-frequency signals and systems.

    For the complete list of tutorials, return to the , or for more RF tutorials, refer to the .NI Measurement Fundamentals Main page NI RF Fundamentals Main subpage

    Table of Contents

    Marconi and the First Wireless Transmissions

    What is RF?

    Why Operate at Higher Frequencies?

    Frequency Shifting through Frequency Mixing

    Looking for more RF Basics?

    Relevant NI Products

    Conclusions

    1. Marconi and the First Wireless Transmissions

    Radio Frequency (RF) and wireless have been around for over a century with Alexander Popov and Sir Oliver Lodge laying the groundwork for Guglielmo Marconis wireless radio developments in

    he early 20th century. In December 1901, Marconi performed his most prominent experiment, where he successfully transmitted Morse code from Cornwall, England, to St Johns, Canada.

    2. What is RF?

    RF itself has become synonymous with wireless and high-frequency signals, describing anything from AM radio between 535 kHz and 1605 kHz to computer local area networks (LANs) at 2.4 GH

    However, RF has traditionally defined frequencies from a few kHz to roughly 1 GHz. If one considers microwave frequencies as RF, this range extends to 300 GHz. The following two tables outline

    he various nomenclatures for the frequency bands. The third table outlines some of the applications at each of the various frequency bands.

    Table 1: Frequency Band Designations

    Table 1 shows a relationship between frequency (f) and wavelength (). A wave or sinusoid can be completely described by either its frequency or its wavelength. They are inversely proportional t

    each other and related to the speed of light through a particular medium. The relationship in a vacuum is shown in the following equation:

    where is the speed of light. As frequency increases, wavelength decreases. For reference, a 1 GHz wave has a wavelength of roughly 1 foot, and a 100 MHz wave has a wavelength of roughly c

    feet.

    Table 2: Microwave Letter Band Designations

    Table 3: Frequency Applications and Allocations in the U.S.

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    RF measurement methodology can generally be divided into three major categories: spectral analysis, vector analysis, and network analysis. Spectrum analyzers,

    which provide basic measurement capabilities, are the most popular type of RF instrument in many general-purpose applications. Specifically, using a spectrum

    analyzer you can view power-vs-frequency information, and can sometimes demodulate analog formats, such as amplitude modulation (AM), frequency modulation

    (FM), and phase modulation (PM).

    Vector instruments include vector or real-time signal analyzers and generators. These instruments analyze and generate

    broadband waveforms, and capture time, frequency, phase, and power information from signals of interest. These instruments are

    much more powerful than spectrum analyzers and offer excellent modulation control and signal analysis.

    Network analyzers, on the other hand, are typically used for making S-parameter measurements and other characterization

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    measurements on RF or high-frequency components. Network analyzers are instruments that correlate both the generation and

    analysis on multiple channels but at a much higher price than spectrum analyzers and vector signal generators/analyzers.

    3. Why Operate at Higher Frequencies?

    From Table 3 we notice that the frequency spectrum is quite fragmented and dense. This encompasses one of the reasons that we are constantly pushing applications into higher and higher

    frequencies. However, some of the other reasons accounting for this push into higher frequencies include efficiency in propagation, immunity to some forms of noise and impairments as well as th

    size of the antenna required. The antenna size is typically related to the wavelength of the signal and in practice is usually wavelength.

    This leads to a very interesting question. Typically, data is structured and easily represented at low frequencies; how can we represent it or physically translate it to these higher RF frequencies? F

    example, the human audible range is from 20 Hz to 20 kHz. According to the Nyquist theorem, we can completely represent the human audible range by sampling at 40 kHz or, more precisely, at

    44.1 kHz (this is where stereo audio is sampled). Cell phones, however, operate at around 850 MHz. How does this happen?

    4. Frequency Shifting through Frequency Mixing

    Much of the study of RF and high-frequency measurements occurs in the frequency domain. There is a duality between the time-domain functions and those samefunctions represented in the frequency-domain. Figure 1 depicts frequency shifting the human audible range to transmit through cellular frequencies. The most

    common way to frequency shift is called mixing, which is equivalent to multiplying your signal by a sinusoidal signal. The following mathematical trigonometric

    identity demonstrates this fact.

    Therefore, by beating two sine waves against each other, you get both sum and difference frequencies. You can shift an entire signal to a new frequency range

    (either up or down in spectrum) by selecting the appropriate value of . In addition, any signal can be represented as the sum of sinusoidal signals of different

    frequencies. Thus, shifting a signal simply applies the multiplication to all its sinusoidal components.

    Figure 1: Frequency Shifting the Human Audible Range to the Cellular Range

    : The process of taking audible sound and transmitting over cellular frequencies (850 MHz) includes more than simply mixing. To make the signal more resistant to noise and otherNOTE

    impairments, the process includes encoding and modulating the data as well as perhaps using multiple stages of mixing instead of a single stage.

    5. Looking for more RF Basics?

    Engineers who are new to RF or looking for a a refresher course can attend a 3-Day National Instruments RF Fundamentals Training Course to explore traditional

    measurements, learn about digital and analog modulation, examine modern system-level tests such as BER, MER, and EVM, and more.

    Learn More about the 3-Day Course >>

    6. Relevant NI Products

    Customers interested in this topic were also interested in the following NI products:

    NI RF & Communications Platform

    NI 5663 6.6 GHz RF Vector Signal Analyzer

    NI 5673 6.6 GHz RF Vector Signal Generator

    NI 5660 2.7 GHz RF Vector Signal Analyzer

    NI 5671 2.7 GHz RF Vector Signal Generator

    NI RF Switch Hardware

    NI Spectral Measurements Toolkit Software

    NI Modulation Toolkit Software

    7. Conclusions

    This document is meant to provide a brief overview and introduction to RF, wireless, and high-frequency signals. Additional information can be found in Teaching and Research Resources for RFand Communications.

    For the complete list of tutorials, return to the or for more RF tutorials refer to the .NI Measurement Fundamentals Main page NI RF Fundamentals Main subpage

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