The Fundementals

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    The Fundementals

    IntroductionMaxwell's equationsPlane wavesFree space lossGas LossRefractionDiffractionReflections

    TroposcatterRain effectsVegetationStatisticsLink budgetsNoiseMultipathMeasurementsModels

    Link Budgets

    In the following sections of the tutorial we will change emphasis a bit and start to look in particular at the

    effects of radiowave propagation on channels. We will cover link budgets, noise, wide band effects, modeling

    and measurement techniques.

    Link Budgets

    This is all about finding the signal level received from the signal level transmitted. A link budget is a formal way

    of calculating the expected received signal to noise ratio. This is something designers generally want to know

    to make design decisions like what antenna gain and how much transmitter power is needed. This effects the

    hardware cost and is important in satisfying the license conditions etc. Knowing how to properly make a link

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    budget is a very important skill for a communications system design engineer. Some people make a lot of

    money out of being able to do it well. It is at the basis of antennas and propagation studies as the path loss

    between the terminals depends only on the propagation loss and the antenna gain.

    Link budgets usually start with the transmitter power and sum all the gains and losses in the system

    accounting for the propagation losses to find the received power. Then the noise level at the receiver isestimated so we can take the ratio of the signal power to the noise power and work out the performance of

    the link. This procedure is shown for the generic system below:

    The 3 steps are

    1. find the signal power at the receiver by subtracting the path loss from the transmitted power,remembering to account for antenna gains and feeder losses.

    2. find the noise power from the antenna and add to this any noise generated within the system3. Calculate the ratio of signal power to noise power

    What is not included yet in the above in order to avoid confusion is the interference. Interference can often be

    treated like additional noise, but the effect of interference depends very much on the modulation scheme

    being used. With digital systems, interference can be treated as noise, but beware of pulse type interference,

    which may have a low average power but can completely disrupt services like DTT and DAB through causing

    bursts of unrecoverable errors that prevent the highly compressed content from being decoded.

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    EIRP

    The transmitter parameters are often further simplified using the concept of EIRP. This is useful as it allows us

    to treat systems with very different antenna characteristics similarly.

    In radio systems, the Equivalent Isotropically Radiated Power (EIRP) is the amount of power that would have

    to be radiated by an isotropic antenna to produce the equivalent power density observed from the actual

    antenna in a specified direction. The EIRP is still a function of direction, we are not assuming power is radiated

    isotropically. Usually EIRP is quoted for bore sight, defined as the axis of maximum radiation. Occasionally we

    need to refer to the off axis EIRP which may be in the direction of another system that is suffering

    interference.

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    The EIRP is usually quoted in decibels compared to a reference power, e.g. 1watt, 0dBW or 1 milliwatt 0dBm.

    The EIRP is a useful quantity for comparing systems as it is system independent, that is we do not need to

    know anything else in order to calculate the radiated field strength.

    Path Losses

    We now need to consider the link parameters - the path loss, which we know this already, it is the sum of all

    the losses between transmitter and receiver that are not to do with the antennas or feeders.

    Path loss = Free space loss + Gas loss + Additional path loss

    Signal power at receiver

    We now have enough information to calculate the signal power at the receiver:

    Received power = EIRP - Path Loss + Receiver antenna gain

    E.g. Handheld radio 448 MHz, EIRP ~ 0.5 Watt = -3 dBW, Antenna gain, 0 dB (Isotropic) so for a 1km line of

    sight path, the loss = 85 dB and the received power = -88 dBW (That is a strong signal). It is easy, but we have

    assumed the receiver is linear. With high received signal powers from -40 dBW upwards, this becomes less

    likely. Many strong signals at a receiver may cause undesirable intermodulation products to be generated

    which will degrade the performance.

    Noise power at the receiver

    We are half way to finishing our link budget with the signal power at the receiver. We need to know the noise

    power to find the signal to noise ratio. Noise comes from several sources, there is natural noise from the

    environment, noise generated within the receiver itself and man made noise. Everything with a temperature

    will generate noise - Boltzmanns law says the noise power per unit bandwidth = kT where k is Boltzmanns

    constant and T is the absolute temperature in Kelvin.

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    Important features of this type of noise is that noise is additive, if you have two noise sources you get the sum

    of the noise power from each, and noise has a flat spectrum, so if you increase the bandwidth you increase

    the noise power in proportion.

    Boltzmanns constant is often expressed in the units of dB Watts per Hz per Kelvin, that is how many watts you

    get per Hz of bandwidth for each Kelvin of temperature. Its value is -228.6 dBw/HzK. For example you mightan antenna looking at the ground has a noise temperature of 290K. The noise power received in a 1MHz

    bandwidth at a noise temperature of 290K is:

    Noise power per MHz = -228.6 + 60 + 24.6 = -144 dBW

    Other external noise sources not part of the system include

    The atmosphere including the ionosphere The Earth ~ 290K The Sun (it is very hot!) Galactic sources (Crab Nebula, etc) Cosmic background of ~ 2K Man made noise (ranging from negligible to very high)

    Some typical values are shown in the figure:

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    There is some evidence that the man made noise levels are increasing in some environments. This is a hot

    topic as Ultra-Wideband systems intend to operate below the noise floor of conventional systems and there is

    some disagreement between the UWB and conventional camps over what that level is.

    Another issue is over power line transmission PLT technology, which used mains wiring to send data in the

    vein hope that the wires will not radiate. They do radiate of course and the aim is to keep the additional noiseto below the current noise floor this dispute is quite heated because prototype PLT systems have been

    demonstrated by the BBC to be severely damaging to broadcast reception.

    Noise at the antenna

    The antenna picks up noise from the sources in the previous slide, depending on its radiation pattern, it also

    generates noise through its own temperature and losses and picks up noise from the Earth at 290K in the

    sidelobes. To estimate the noise picked up by an antenna, a quick method is to take the antenna efficiency as

    an indication of the sidelobe power. So, if the efficiency is 60%, the external noise in the direction of the

    antenna accounts for 60% and the sidelobes represent 40% of the noise pickup. It is further assumed that half

    of the sidelobes are looking towards the sky and half towards the ground. For example, with a 60% efficient

    dish as might be used for satellite TV reception at 12GHz, the sky noise temperature may be ~15K and the

    ground noise temperature 200K. The total antenna noise is estimated as:

    Antenna noise temperature = 0.6 x 15K + 0.4 x (15K + 200K)/2 = 52K

    The ratio is nearly 4 times compared to what it would be without the sidelobes, so dish efficiency can

    sometimes matter even more for noise than it does for received signal power.

    Noise generated in the receiver

    Noise is generated by all inline devices, for example passive devices including attenuators, waveguides, cables,filters etc. or active devices, amplifiers, mixers etc. Each can be represented reasonably accurately as an

    additional noise source (resistor) at the input to the system:

    Passive Devices

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    If a passive device has loss it will add noise to the system proportional to its temperature (Assumed 290K

    unless known) and the loss.

    E.g. For a gain of 0.9 (10% power loss), TDevice = 29K.

    For a feeder loss of 1 dB the noise temperature increase works out as 75K.

    Nothing adds no noise unless it has a temperature of absolute zero. Feeders always have loss. The loss at

    microwave frequencies is higher and feeder lengths need to be minimised to obtain a low overall system noise

    temperature. Radio astronomy stations whose performance would be totally devastated by a 75K feeder

    temperature dispense with the feeder altogether. They use beam waveguides where the only loss is in the

    reflecting surfaces which is low because of their size plus they can be easily cooled.

    Active Devices

    All active devices generate noise internally, the reasons are complex, but it can be modeled as an effective

    noise temperature, e.g. for an amplifier:

    kTrx Brx = amplifier noise power

    Typical noise temperatures for real amplifiers are in range 10K - 1000K. The Noise Factor is a measure of how

    much noise is added by an active device. When the receiver is matched by a load resistor at standard

    temperature T0 290K noise power input is:

    Noise Factor F = (Noise Out / Noise In)referenced to input!

    Noise Factor:

    Which if expressed in dB is FdB = 10log(F) we call this the noise figure.

    in terms of noise power after substituting for k and T0:

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    N0 = FdB -204 + 10log(B) dBW

    Alternatively, we can consider an Effective noise temperature:

    N0 = kT0B + kTeB = k(T0 + Te)B

    and

    Cascaded Sources

    When a device is described as having a noise temperature or a noise figure, this is always relative to the INPUT

    of the device. When summing noise contributions we need to be careful about gain and loss, an amplifier will

    amplify input noise as well as the signal and a lossy device will attenuate input noise as well as adding noise

    due to its own noise temperature.

    Ptotal = G1G2G3...GnkT0B + G1G2G3...GnkT1B + G2G3...GnkT3B + G3...GnkTnB +

    Input x total gain 1st x total gain 2nd x (total gain gain of 1st stage)...

    This tells us something useful if we have enough gain in our front end low noise amplifier, the noise figure of

    the rest of the receiver is of secondary importance. There is a trade off though as too much gain is bad for

    performance. The problem is that putting gain at the front end of the receiver before the filtering reduces the

    systems immunity to strong out of band signals. Too much overall gain will add to the inter-modulation

    distortion generated from in-band signals and thereby reduce the dynamic range of the receiver.

    Example

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    Find the overall noise figure of a receiver with a 10 dB noise figure preceded by an amplifier with a noise figure

    of 0.5 dB and a gain of 20 dB ?

    To solve this we need to sum the input noise plus the noise temperature of the amplifier multiplied by the

    gain of the amplifier plus the noise temperature of the original receiver.

    (Rearrange the equation Ptotal = G1kT0B + G1kT1B + kT2B)

    T0 = 290K

    T1 0.5 dB NF = noise temp of (100.5/10

    / - 1) x 290 = 35K

    T2 10 dB NF = noise temp of (1010/10 - 1) x 290 = 2610K

    G2 20 dB Gain = 100 x

    Tadded = 35 + 2610/100 = 61K, Equivalent to a system noise figure of 0.8 dB

    We have assumed a 60% antenna efficiency, that is quite a challenge for a mass market product. When

    satellite TV first became popular the original LNBs had noise temperatures of about 250K so the total noise

    temperature was 300K and the extra noise from the antenna really didnt make that much difference.

    Nowadays LNBs are apparently available with noise temperatures of around 50K giving a total noise

    temperature of 100K. Now the antenna is responsible for half of the noise power. The LNB improvement

    equates to an improvement of 4.7 dB in SNR. That is more than enough gained to permit the dish size to be

    reduced to 45cm. An even smaller dish could be used if it was not for the congestion in the Geostationary orbit.

    Instead, we now use 45cm and the improvements in LNBs have allowed an increased data rate.

    Why worry about noise figure?

    Say we have a receiver with a noise figure of 10 dB and 20MHz bandwidth. What is the equivalent noise

    power?

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    The receiver noise floor is 121 dBW. Say we are looking for a TV satellite, with a good antenna so the

    antenna noise temperature is low, maybe 50K, if we work out the input noise power we find it is:

    So our receiver noise is much higher than the input noise, with at121 dBW being 18 dB worse than it would

    be an ideal noiseless receiver. An input signal of120 dBW from a transponder would have an SNR of 1 dB, if

    our system was noiseless this could have been 19 dB.

    To fix this the manufacturer fits a 0.5 dB NF LNA , which as we know gave us 61K of additional noise, which

    when added to the antenna noise gives a a total of 111K.

    The signal would now have an SNR of 15 dB! That is the difference between a good watchable picture and

    none at all. If we did not have the low noise amplifier the satellite operator would need to compensate with

    14 dB more power, which would be economic suicide.

    In perspective

    Remember to keep noise temperatures in perspective, there is usually no need for one part of a system to

    have a vastly better noise performance than another. Low noise receivers are important in space and satellite

    systems but much less important for terrestrial systems in noisy environments.

    In a typical business area, at UHF the noise temperature seen by the antenna will be 1000K or more. This is

    similar to Te for our example so improving our 10 dB NF receiver is not going to make such a large difference

    to the signal to noise ratio. Adding a 20 dB gain amplifier in front would actually make the receiver worse as it

    would affect the strong signal handling there lots of strong signals around in industrial areas.

    Things are different for SETI trying to look for ET at times the hydrogen line (~4.5 GHz) from a quiet location

    with a good antenna with input noise ~ 10K. Even the receiver noise temperature of 61K would be considered

    poor and Cryogenic cooling and very low noise systems are needed for radio astronomy.

    Summary

    Do link budgets in dB as it is easier. The steps are:

    Find the Signal (dBW)

    1. Work out the transmitter EIRP2. Work out the path loss3. Add the receiver antenna gain

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    4. Subtract the feeder lossesFind the Noise (dBW)

    1. Find the natural noise2. Add the noise from the antenna3. Add the noise from the feeders etc.4. Add the noise from the receiver

    Find the SNR (dB) = Signal (dBW) Noise (dBW)

    Some Examples

    Voyager - again. Last time we calculated Goldstone received a signal level of -180 dBW from Voyager. Building

    on our previous example, what is the data rate one might expect to be able to receive from a space probe.

    Goldstone uses the best LNAs available and the system noise temperature is around 30k. The antenna is

    designed for very low sidelobe noise

    and it tends to not be used at low elevation angles. Goldstone uses cryogenic cooling on the LNAs, much of thenoise power comes from the waveguide loss of 0.2 dB, equivalent to a noise temperature of 14K. The rest

    comes from the atmospheric loss and antenna noise temperature, both of which depend on the elevation

    angle. This equates to a noise power of:

    N = -228.6 + 10log(30) = -213.8 dBW/Hz

    The S/N is the difference:

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    S/N = -180(-213.8) = 33.8 dB/Hz

    Shannon's theory says in the limit we get no errors with a bit energy to noise energy ratio of -1.6 dB. Some

    modern exotic schemes get to within a dB or so of this, but remember Voyager was designed in the 1970s. The

    coding scheme deployed needs a bit energy to noise energy ratio of 2.5 dB which gives us a maximum data

    rate 33.8 2.5 = 31.3 dB/Hz, which is equivalent to 1.35 kb/s.

    (note: we have ignored several degradations, for example Goldstones antenna efficiency, in this link budget

    to avoid clouding the point)

    A PMR system

    Back to our PMR448 - What is the maximum line of sight range?

    Radio specification:

    Handheld radio 448 MHz, TX ~ 0.5 Watt

    Antenna gain, 0 dB (Isotropic)

    Noise figure = 6 dB, Bandwidth = 25kHz

    Minimum usable SNR 12 dB

    Find the noise floor:

    Assume the antenna is seeing half ground (290K), half sky (30K) = 160K average

    Noise figure 6 dB gives (4 -1) x 290 = 870K noise temp

    Total noise temperature = 870 + 160 = 1030 K

    Noise power = kTB = 1.38x10-23 x 1030 x 25,000 = 3.55x10-16 W = -155 dBW

    Transmitted Power (EIRP):

    Our EIRP is the transmitter power + the antenna gain

    EIRP = -3 dBW power + 0 dBi antenna gain = -3 dBW

    Maximum path loss capability:

    This is simply the difference between the EIRP and the required power, so we need to find minimum required

    signal power:

    We need 12 dB SNR to communicate so the signal power must be at least 12 dB above the noise floor

    Required power =155+12 = -143 dBW

    Path loss capability = (-3) - (-143) = 140 dB

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    Path loss with distance:

    At this frequency gases can be ignored, so the line of sight path loss is given by

    Path Loss = 32.4 + 20log(d) + 20log(448) = 85.4 + 20log(d) dB

    This should equal 140 dB, so

    20log(d) = 54.6

    and

    d = 10(54.6/20) = 537km

    The reason that PMR 448 handies dont work over 537km because there are not usually any 537km line of

    sight paths. We have of course completely forgotten about interference here. Interference is frequently the

    major limiting factor in mobile communications systems. That is why it is important to understand the

    propagation characteristics of unwanted co-channel signals as well as wanted ones.

    Next

    Mike Willis May 5th, 2007

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