rfm_pdd day 4

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  • 7/31/2019 RFM_PDD Day 4

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    Okey Ugweje, PhD Page 1

    Radio System Design

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    Okey Ugweje, PhD Page 2

    Noise in Communications Systems

    Interference Issues in Radio Communications

    Eb/N0 vs SNR; BER vs. Noise

    Spectral Efficiency and System Limitation Bandwidth Limitations

    Inter-modulation Distortion

    Bandwidth Limitations

    RF System Design Considerations

    Characteristics of Receiver Design Noise Figure

    Receiver Sensitivity

    Dynamic Range

    Power Output

    Day 4: Radio System Design

    RF/Microwave Systems : PDDProgram Schedule

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    Origination of Noise in communication systems

    External to the system, e.g., atmospheric, solar,cosmic man-made, etc

    Internal to the system, e.g., thermal noise, shot

    noise

    Effect of external noise depends on system location &

    configuration, while effect of internal noise is

    independent of location & configuration

    Noise can be classified in two broad categoriesA) Additive noise

    Any noise that remains in the system when the

    input signal disappears, e.g., thermal noise,

    crosstalk, ISI, etc

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    B) Multiplicative noise

    Noise caused by inherent randomness within the signal

    itself

    Produced in the system only when the signal is present.

    Eg. Shot noise, phase noise, multipath fading, etc.

    Noise arises in various forms

    Data m(t) is corrupted in the Tx by thermal noisedue to thepresence of electronic devices (e.g., Audio Amplifier)

    Carrier c(t) is not a pure sine wave - in fact, it containsharmonic distortions

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    Modulated signal s(t) experiences multiplicative noise intransmission from Tx thru the channel due to turbulence in

    the air and propagation mechanisms

    s(t) also suffers from additive noise during transmission

    automobiles, static electricity, lightning, power lines, etc

    Thermal and short noise at the receiver is also a factor

    All forms of noise degrade system performance

    In comparison, additive noise is the most annoying

    usually contains most power and is of most interest in many

    applications

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    Noise Modeling

    In the channel, the signal experience attenuation, time delay(precisely known) and additive noise

    Most disturbances, interference, attenuation, etc., are usually

    classified as noise

    The most important type of noise that occur in communication

    system is said to be white noise, n(t)

    Usually n(t) is assumed to be additive, white and Gaussiannoise (AWGN) with power spectral density G

    n

    (f)

    Transmitter Channel Receiver

    + r(t)s(t)

    n(t)

    (noise)

    (modulated signal ) (received signal )

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    Okey Ugweje, PhD Page 8

    White Noise is a random process having a flat (constant)power spectral density Gn(f), over the entire frequency range

    white because it is analogous to white light

    assumed to be a Gaussian random process

    usually additive in nature

    Hence, this type of noise is commonly called Additive, White

    and Gaussian (AWGN) with power spectral density No/2

    0( )2

    n

    NG f

    White Noise and Filtered Noise

    (f)Gn

    f

    2-sided power spectral density of noise

    0

    0

    2

    N

    2 0( )2

    NVar df n t

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    Since white noise has infinite bandwidth, it cannot be used in

    system design

    wideband and cannot be expressed in terms of quardrature

    components

    However, in most commun systems operating at fc, the channelbandwidth B (or W), is small compared to fc

    narrowband systems

    Hence, it is mathematically convenient to represent the white

    noise process in terms of the quadrature components

    But it must be filtered

    Accomplished by passing the signal plus noise through an

    ideal BPF having a passband as(f)G

    n

    f

    fc-fc

    0

    2

    N

    0

    B B

    noise is said to be bandlimitted

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    Signal-to-Noise Ratio

    Signal-to-noise ratio (SNR) is the figure of meritfor evaluatingthe performance of analog communication systems

    A certain signal m(t) (orx(t)) is transmitted with powerPT s(t) is corrupted by additive noise n(t) during transmission

    Channel may also attenuate (and/or distort) the signal

    At Rx, we have a signal mixed with noise

    Signal and noise power at the receiver input are Siand NiRx processes the signal (filters, demodulation, etc.) to yield

    the desired signal powerSo, plus noise powerNo

    Transmitter Channel Receiver

    y0(t)

    n(t)

    yi(t)

    Si, N

    i

    x(t)

    m(t)

    s(t)

    S0, N

    0

    input output P

    T

    0 0

    ( ) ( ) ( )oy t s t n t

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    Assume that:

    Noise n(t) is zero-mean Gaussian with Gn(f) = N

    0/2 or/2

    Noise is uncorrelated with s(t)

    Hence output power is

    The output signal-to-noise ratio (SNR) is

    For a baseband system

    2 2 2

    0 0 0 0 0( ) ( ) ( )E y t E s t E n t S N

    2

    0

    0 2

    0 0

    ( )

    ( )

    S E s tSoSNRN N E n t

    o

    Mean Signal Power

    Noise Power

    Part 4: Digital Baseband Communications

    0

    iSS

    SNRN N Bb b

    used as a standard formaking comparisons of

    the various analog

    modulation schemes

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    Unipolar

    (orthogonal)

    Bipolar (antipodal)

    P QE

    Nb

    b

    o

    HG

    2P QE

    Nb

    b

    o

    HG

    Bipolar signals require a

    factor of 2 increase in energy

    compared to Unipolar

    Since 10log102 = 3 dB, wesay that bipolar signaling

    offers a 3 dB better

    performance than Unipolar0 2 4 6 8 10 12 14 16 18 20

    10-10

    10-8

    10-6

    10-4

    10-2

    10

    0

    Eb/No (dB)

    Probability

    ofBitError

    Othogonal

    Antipodal

    QE

    N

    b

    oHG

    QE

    N

    b

    o

    2

    HG3-dB

    BER vs. Noise

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    Comparing BER Performance

    0 2 4 6 8 10 12 14 16 18 2010

    -10

    10-8

    10-6

    10-4

    10-2

    100

    Eb/No (dB)

    Probab

    ility

    ofBitError

    OthogonalAntipodal

    7 8 10 4.

    9 2 102

    .

    ForEb/No = 10 dB Pb,orthogonal = 9.2x10

    -2

    Pb,antipodal = 7.8x10-4

    For the same received signal to noise ratio, antipodal

    provides lower bit error rate than orthogonal

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    Probability of Error Performance

    Coherent

    Noncoherent

    Coherent orthogonal BFSK performance is identical to coherentASK

    Eb/N0 penalty of noncoh. detection is only about 1 dB lower

    Note:noncoherent FSK performance is not nearly as bad as

    ASK

    P QE

    Nb

    b

    o

    HG

    PE

    Nb

    b

    o

    H

    1

    2 2exp

    Part 5: Digital Bandpass Communication

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    BER Performance for DPSK

    0

    1exp

    2b

    B

    EP

    N

    Part 5: Digital Bandpass Communication

    Theoretical performance forCPSK and DPSK is shown

    here for an AWGN channel

    BER for CPSK is exactlythe same as that derived for

    bipolar baseband

    transmission

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    MASK

    MPSK

    MFSK

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    whereP is spectral power density in W/Hz

    T is absolute Kelvin temperature (293 = room temp, 20

    Celsius)

    k is Boltzmanns constant 1.38x10-23 Ws/deg. h is Plancks constant 6.6x10-34 Ws2.

    For frequencies below 1011 Hz, we can treat the spectral

    power density as a uniform value kT

    Quantum Limited Spectral Noise Power

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    Bandwidth may be derived from half-power points or other

    criteria

    Ideal Uniform Spectrum Noise

    System Names BW (kHz) Noise Power (W) Noise Power (dBm)

    TACS, SMR 25 1x10-19 -129.8

    AMPS, TDMA 30 1.2x10-16 -129.05

    GSM,

    DCS1900

    200 8.3x10-16 -120.8

    CDMA 1000 4.2x10-15 -113.8

    CDMA figure is broadband for entire composite signal without

    despreading gainFor individual user including effects of despreading, the

    equivalent B is taken as the bit rate of the vocoder (14,400 b/s

    in IS-95 applications)

    On this basis, noise power is -132.25 dBm for an individual user

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    Shot noise = flow of electrons or current at weak signal levels;

    random impacts of individual electrons in active devices (diodes,

    transistors, etc.)

    In2 = qIGf,

    where

    In

    is the standard deviation of the shot noise current,

    q = 1.6x10-19As, the charge of the electron,

    I is the dc signal current through an active junction, and

    G is a factor dependent on geometry of the structure

    f is bandwidthNote that In is notrelated to temperature.

    Shot noise is a problem for the circuit designer, not the system

    designer

    Its effect is included in the Noise Figure

    Shot Noise

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    Example:

    A 30 kHz bandwidth Rx rated at 7 dB NF has equivalent

    input noise level of -129 + 7 = -122 dBm

    Minimum analog received signal must be -122+18=-104

    dBm for good noise-limited reception

    Noise Figure of Receiver

    The composite effect of all noise generated in the receiver is

    expressed by a figure of merit called Noise Figure (NF)

    NF of an amplifier, or the entire front end of a Rx, is the ratio

    in dB of Signal/Noise at the output divided by S/N at the

    input

    The input to a Rx is the antenna, and the assumed noise

    source there is the kT thermal noise of space

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    Inter-modulation (IM or Intermod) is an effect arising from very

    strong signals

    It relates to the upper end of the dynamic range of signal

    power

    IM produces small signals at various frequencies which add to

    other sources of system noise and reduce the sensitivity of

    receivers

    It relates to the lower end of the dynamic range of signal

    power as well

    Inter-modulation Involves

    Mixing of the signals

    Power amplifier transfer characteristics of active and passive

    devices

    In short, IM is just unwanted modulation

    Inter-modulation

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    Active Inter-modulation

    produced in transmitters andreceivers

    Passive Inter-modulation

    Produced in antenna

    Also produced in other pointsof rectification

    Inter-modulation Issues

    Finding Inter-modulation

    Eliminating Inter-modulation

    Available Inter-modulation

    prediction software

    Sources of Inter-modulation

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    Try to prevent or reduce the amplitude of strong RF signals

    reaching receivers in wireless systems

    Reduce or eliminate at the source, if feasible (spurious

    emissions from electric lamps, signs, elevator motors, etc.)

    Shielding, enclosure, modification of antenna directionality to

    reduce the penetration of electromagnetic waves

    Identify and eliminate secondary non-linear radiators: parallel

    metal joints with conductive connections, ground all parts of

    metal fences, rain gutters, etc., (also improves lightning

    protection)

    Conducted RF from wires, etc. entering receiver can bereduced via low pass or band pass filters, ferrite beads, etc.

    Use Notch filters to remove source RF, or specific harmonics or

    products

    What to do about IM?

    N li Eff t & I t d l ti

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    Almost everything is slightly (or extremely) non-linear

    Only free space is theoretically a true linear medium

    Particularly non-linear are:

    all active semiconductor devices

    corroded electrical connections, etc.

    Non-linear Effects & Inter-modulation

    When high RF current levels are present in non-linear devices,waveform distortion occurs

    A distorted (clipped, peaked, etc.) non-sinusoidal waveform is

    equivalent to a sum of sine waves of several different

    frequencies (Fourier series)Product waveforms can also occur when 2 freqs are mixed

    due to the non-linearity

    If nonlinear device characteristics are known (intercept point,

    etc.), IM amplitudes can be accurately computed

    M d l ti I t d l ti

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    When 2 signals are intentionally combined in a non-linear

    device we call the effect modulation

    Amplitude modulator, or quad phase modulator

    Mixer, down or up converter in superheterodyne receivers

    When 2 (or more) signals are unintentionally combined in a

    non-linear device, the effect is known as inter-modulation (a

    pejorative term)

    An analogy:

    Botanists use soil to grow plants. But on your living room

    carpet, soil is just dirt

    We use modulation to transmit signal, however, when it

    happens without our direction, we dont want it

    IM signals increase system noise, or cause distinctiverecognizable interference signals

    Modulation vs. Inter-modulation

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    Complete link: Uplink + Downlink

    Fixed services analysis and transparent repeaterAnalysis of uplink is done the same way as the downlink

    Design Parameters:

    Uplink:Transmission power of earth station

    Antenna characteristics of earth station

    Receiver characteristics and satellite antennas

    Downlink:

    Transmission power of Transponder

    Antenna transmission characteristics

    Antenna characteristics and Earth station receiver

    Radio System Design Above 10 GHz

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    Global System BER:

    Eb/No of uplink and downlink Signal to Noise Ratio of receiver (satellite or Earth

    station) is defined by 4 ways:

    1. Eb/No (dB)

    2. C/N (dB): Carrier-to-noise

    3. C/No (dB)4. C/T (dBW/K):

    the ratio of carrier power with the equivalent

    noise temperature

    Radio System Design Above 10 GHz

    R S G

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    Relation between the Signal-to-noise ratio

    C/N= (Eb/No) log2M; and in dB : C/N= Eb/No(dB)+10 (log10(M))

    No= KtWatt/Hz and N = NoBWatts in the bandwidth of B Hz

    K = 1.38x10-23 Joule/Kelvin (Boltzmann Constant) T = Equivalent noise temperature in Kelvin

    M = Signal number in M-PSK constellation

    Radio System Design Above 10 GHz

    R di S t D i

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    Radio System DesignRadio System Design Above 10 GHz

    Budget link:

    To guarantee a ratio Eb/No (or C/N) sufficiently large

    to attempt a given BER

    The link Budget is divided in two parts:

    The power budget and the noise budget

    Power Link Budget for downlink