SDR and CR Boost Wireless Communications

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    SDR And CR Boost Wireless Communications

    Oct 12, 2011Lou Frenzel| Electronic Design

    Fig 1. A conventional legacy radio receiver (a) uses the standard analog superheterodyne

    architecture with analog circuitry performing all functions. A more advanced superheterodyne

    receiver (b) uses digital demodulation with DSP.

    Softwaredefined radio (SD!) used to be rare and e"otic. #ut today$ most modern radios use

    SD!%s architecture and techni&ues. 'ach year with continuing advances in s and other

    technologies$ SD! becomes more capable and widespread. n fact$ new techni&ues li*e cognitive

    radio (!) are ma*ing SD! more useful and beneficial to wireless communications.

    SDR Defined

    SD! uses software to perform some of the signal processing in a receiver and transmitter. For

    e"ample$ a traditional receiver using the ubi&uitous superheterodyne architecture performs all

    signal processing with basic electronic circuits (Fig. 1a). +he superheterodyne downconverts the

    input signal to an intermediate fre&uency (F) for demodulation and other processing.

    'arly SD! receivers (Fig. 1b) replaced the demodulator with an analogtodigital converter

    (AD) after the F stage and performed the demodulation and some filtering in a digital signal

    processor (DSP). +oday$ because ADs sample faster$ DSPs can handle more functions.

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    +o ma*e DSPs wor*$ the amplitude and phase of the signals both must be *nown. +his has led to

    an architecture that divides the received signal into two paths$ one producing an inphase ()

    signal and a ,- shifted &uadrature (/) signal. A basic carrier signal has the form0

    2 Accos(34fct 5 6)

    7here fc is the carrier fre&uency$ 6 is the phase$ and Acis the carrier amplitude. Any of these

    may be varied for modulation. For demodulation in the digital domain$ a single signal is

    insufficient for e"isting algorithms. +herefore$ the modulated signal is converted into the and

    / signals0

    2 (t) cos(34fct) 5 /(t) sin(34fct)

    7ith the &uadrature signals$ any variations in amplitude$ fre&uency$ or phase can be detected

    and used in a demodulation or other process.

    Figure 3shows a modern 8/ SD! receiver. A lownoise amplifier (9:A) usually boosts the

    input signal from the antenna before it is applied to the two mi"ers. +he mi"ers develop the

    and / signals. #oth receive a local oscillator (9;) signal from the phaseloc*ed loop (P99)

    fre&uency synthesi

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    After the baseband signals have been filtered in low pass filters to eliminate the sum

    components at the output of the mi"ers$ the signals are digiti- @< already use this advanced architecture.

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    @any functions are now performed digitally0

    Filtering (low pass$ high pass$ band pass$ and band reBect)

    @odulation (A@$ F@$ P@$ FSC$ #PSC$ /PSC$ /A@$ ;FD@$ etc.)

    Demodulation

    '&uali. Esamples8s (see ADs Sample !F DirectlyG atwww.electronicdesign.com). +his dual

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    channel$ 13bit AD can be used with a cloc* phase shift that allows interleaved or alternate

    channel sampling for even faster conversion. DA sampling speed is closely following this trend.

    7hile fast conversion is essential$ the DSP must be fast enough to *eep up. +hat has not been a

    problem as most processors have easily *ept pace. SD! is software$ of course$ but you still need

    hardware that can be implemented physically in several forms.

    For instance$ you can write code to run on a generalpurpose processor (EPP). +his may not be

    an optimal approach as some of the algorithms call for math procedures that are aw*ward to

    handle on most EPPs. owever$ an ntel or A@D dualcore processor used in most Ps today

    does a great Bob in some applications. Some EPPs also have special instructions li*e the multiply

    and accumulate (function) that are so commonly used in DSP algorithms.

    +hen you can also use a DSP designed specifically to handle signal processing code. t has a

    special architecture (usually arvard)$ memory$ and arithmetic logic unit (A9=) instruction sets

    that ma*e the DSP fast.

    +e"as nstruments% popular line of DSPs has been used for years in SD!$ such as the H--- and

    --- series. Analog Devices and Freescale also have generalpurpose DSPs. 9i*e any

    processor$ DSPs are fully programmable so they%re very fle"ible in applications where changes$

    additions$ and updates may be re&uired in the future. loc* speeds to 1 E< are common in

    DSPs today.

    @ore and more SD! designs are using FPEAs. +he signal processing algorithms such as the fast

    Fourier transform (FF+) can be reduced to digital logic and &uic*ly implemented in an FPEA.

    Since the cost of FPEAs has steadily declined$ they have become a maBor alternative to DSPs.

    FPEAs are faster than some other processors with some functions but still have the fle"ibility of

    reprogramming. Altera and Iilin" support SD! on their FPEAs.

    Finally$ hard logic is also common today. 7hen implementing fi"ed standards li*e cellular radio

    specifications$ the fle"ibility or reprogramming is not necessary. +herefore$ algorithms can be

    implemented in fi"ed onchip logic. t is fast$ uses less chip area$ and can bring about a maBor

    decrease in power consumption. Such bloc*s of logic are generally called accelerators.

    @any cellphone basestation s li*e +%s +@S>3-+1? systemonachip (So) are e"amples

    that use accelerators. Figure Hshows the 1? with its A!@ EPP and four " generalpurpose

    floatingpoint DSP cores. :ote the accelerator logic on the right. @ost of the 9ayer 1 accelerators

    use DSP algorithms for the many SD! functions.

    Real SDR Transceivers

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    @any SD!s have been developed for the military under the Joint +actical !adio System (J+!S).

    +his =.S. Department of Defense program aims to develop a complete line of SD! radios for

    voice$ data$ and video that can be used to form ad hoc networ*s on the battlefield. +he program

    has been around since the late 1,,-s$ with good progress over the years.

    +he whole basis of J+!S is the Software ommunications Architecture (SA). +his open

    architecture platform standard defines how the hardware and software wor* together. ;ne of

    the primary obBectives is to develop software that is fully transferrable between different

    hardware platforms$ ma*ing all military radios multifunctional and interoperable.

    +he latest version$ designated SA 3.3.3$ was recently made available to further improve the

    programmer%s ability to ma*e the software more fle"ible and scalable. alled SA :e"t$ the

    software helps ma*e programs smaller and re&uire less testing.

    SA does not have specific provisions for cognitive features. #ut over the past few years$ the =.S.

    Defense Advanced !esearch ProBects Agency (DA!PA) has been testing cognitive enhancements

    to SA li*e Dynamic Spectrum Access that will hopefully be available in the coming ne"t

    generation of J+!S radios.

    +he +hales ommunications A:8P!1?K J+!S 'nhanced @ultiband (J'@) nter8ntra +eam

    !adio$ which is a J+!S radio$ covers all the F$ F$ and =F military fre&uencies from >- to

    H13 @< (Fig. ). Power output can be selected from -.1 to H 7. A wide range of modes and

    waveforms is available.

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    Cognitive Radio

    ognitive radio (!) e"pands the definition of SD! to include features that ma*e a radio

    intelligent. +he 7ireless nnovation Forum defines ! as !adio in which communication

    systems are aware of their environment and internal state and can ma*e decisions about their

    radio operating behavior based on that information and predefined obBectives. +he

    environmental information may or may not include location information related to

    communicant systems.G

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    !s are sometimes called adaptive radios that automatically adBust their behavior or operations

    to achieve specific obBectives. +hey can sense$ learn$ and adapt. +hey have an internal memory

    that stores instructions for various situations. Stored *nowledge about their own capabilities

    ma*es it possible for these radios to ma*e their own decisions.

    A ! can also access e"ternal databases for additional decisionma*ing intelligence. t senses by

    listening to a channel assessing the presence of other signals$ their characteristics$ and the noise

    bac*ground. +he ! learns from its e"perience as well. 7ith all of the *nowledge it has or can

    access$ the ! becomes a superintelligent radio.

    +he transmitter (+I) and receiver (!I) are full fre&uencyagile SD!s with a mi" of applicable

    waveforms and all the related SD! hardware and software (Fig. L). A separate cognitive

    processor engine runs the cognitive aspects of the radio. t gets inputs (@) from the !I and +I

    to monitor their condition and parameters. t uses these inputs along with others to ma*e

    decisions.

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    ;ther inputs can come from policy instructions stored in memory that define ways to operate

    under different conditions. '"ternal databases may also be accessed. Some ! units get location

    information by EPS. Decisions are then made$ and controls () are issued to the radios to

    achieve the desired result.

    !s are also a good e"ample of artificial intelligence (A) in action. A is a collection of software

    that is used to store and use *nowledge to solve problems. t can use standard algorithms but it

    can also draw on several A techni&ues such as e"pert systems$ natural language processing$

    neural networ*s$ fu

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    ;ne important aspect of ! is dynamic spectrum access (DSA)$ which allows the ! to tune to a

    channel in the fre&uency spectrum for its operation after it decides that the channel is unused. A

    DSA radio uses unused spectrum$ producing greater efficiency of limited spectrum space.

    A cognitive transceiver essentially tells the SD! what to do in the way of fre&uency of operation$

    modulation$ power level$ protocol$ and other factors and ma*es corresponding adBustments

    automatically. A ! is software that monitors the SD! and delivers commands and control

    instructions as needed.

    !s primarily see* to solve two maBor wireless problems0 limited spectrum and interoperability

    between different radios or wireless systems. A ! can find open spectrum and use it. t also can

    change its waveforms or protocols to adapt to radios of a different nature$ ma*ing

    communications possible or more reliable.

    +here are also several different classifications of !s. For e"ample$ a policybased radio is

    programmed with a predefined set of capabilities li*e waveforms and procedures. +he radio is

    used by selecting one of several different preprogrammed fi"ed functions. +he fi"ed functions

    are loaded during manufacturing$ selected by the user$ or downloaded over the air.

    Another ! form is a fully reconfigurable radio. +his fully generic transceiver can operate over a

    wide fre&uency and power range. +his type of radio can be fully reconfigured on the fly for new

    applications or communications conditions.

    CR Examples

    +he "E +echnology "@a" carrierclass ! system for mobile communications uses the

    unlicensed industrial$ scientific$ and medical (S@) band spectrum in the ,-3 to ,3K@