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Page1
Spectrum analyzer & Measurement
What is a spectrum?
A spectrum is a collection of sine waves that, when combined
properly, produce the time-domain signal under examination. Figure 1
shows the waveform of a complex signal. suppose that we were hoping
to see a sine wave. Although the waveform certainly shows us that the
signal is not a pure sinusoid, it does not give us a definitive indication of
the reason why. Figure 2 shows our complex signal in both the time
and frequency domains. The frequency domain display plots the
amplitude versus the frequency of each sine wave in the spectrum. As
shown, the spectrum in this case comprises just two sine waves. We
now know why our original waveform was not a pure sine wave. It
contained a second sine wave, the second harmonic in this case. Does
this mean we have no need to perform time-domain measurements?
Not at all. The time domain is better for many measurements, and some
can be made only in the time domain. For example, pure time-domain
measurements include pulse rise and fall times, overshoot, and ringing.
Figure 1. Complex time-domain signal
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Spectrum analyzer & Measurement
Figure 2. Relationship between time and frequency domain
Why measure spectra?
The frequency domain also has its measurement strengths. We
have already seen in Figures 1 and 2 that the frequency domain is
better for determining the harmonic content of a signal. People involved
in wireless communications are extremely interested in out-of-band and
spurious emissions. For example, cellular radio systems must be
checked for harmonics of the carrier signal that might interfere with
other systems operating at the same frequencies as the harmonics.
Engineers and technicians are also very concerned about distortion of
the message modulated onto a carrier. Third-order inter modulation
(two tones of a complex signal modulating each other) can be
particularly troublesome because the distortion components can fall
within the band of interest and so will not be filtered away.
Spectrum monitoring is another important frequency-domain
measurement activity. Government regulatory agencies allocate
different frequencies for various radio services, such as broadcast
television and radio, mobile phone systems, police and
emergency communications, and a host of other applications.
It is critical that each of these services operates at the assigned
frequency and stays within the allocated channel bandwidth.
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Spectrum analyzer & Measurement
Transmitters and other intentional radiators can often be required to
operate at closely
spaced adjacent frequencies. A key performance measure for the power
amplifiers and other components used in these systems is the amount
of signal energy that spills over into adjacent channels and causes
interference.
Electromagnetic interference (EMI) is a term applied to unwanted
emissions from both intentional and unintentional radiators. Here, the
concern is that these unwanted emissions, either radiated or conducted
(through the power lines or other interconnecting wires), might impair
the operation of other systems. Almost anyone designing or
manufacturing electrical or electronic products must test for emission
levels versus frequency according to regulations set by various
government agencies or industry-standard bodies. Figures 3 through
6 illustrate some of these measurements.
Figure 3. Harmonic distortion test of a transmitter
Figure 4. GSM radio signal and spectral mask showing limits of unwanted emissions
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Spectrum analyzer & Measurement
Figure 5. Two-tone test on an RF power amplifier
Figure 6. Radiated emissions plotted against CISPR11 limits as part of an EMI test
What is a Spectrum Analyzer?
A spectrum analyzer is a wide band, very sensitive receiver. It
works on the principle of "super-heterodyne receiver" to
convert higher frequencies (normally ranging up to several 10s of
GHz) to measurable quantities. The received frequency spectrum
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Spectrum analyzer & Measurement
is slowly swept through a range of pre-selected frequencies, converting
the selected frequency to a measurable DC level (usually logarithmic
scale), and displaying the same on a CRT. The CRT displays received
signal strength (y-axis) against frequency ( x-axis).
Obviously, signals that are weaker than the background noise could not
be measured by a spectrum analyzer. For this reason, the noise floor of
a spectrum analyzer in combination with RBW is a vital parameter to be
considered when choosing a spectrum analyzer. The received signal
strength is normally measured in decibels (dbm). (Note that 0 dBm
corresponds to 1 mWatt of power on a logarithmic scale). The primary
reasons for measuring the power (in dBm) rather than voltage in
Spectrum Analyzers are the low received signal strength, and the
frequency range of measurement. Spectrum analyzers are capable of
measuring the frequency response of a device at power levels as low as
–120dBm. These power levels are encountered frequently in microwave
receivers, and spectrum analyzers are capable of measuring the device
characteristics at that power levels
The super heterodyne spectrum analyzer
Figure 7 is a simplified block diagram of a super heterodyne
spectrum analyzer. Heterodyne means to mix; that is, to translate
frequency. And super refers to super-audio frequencies, or frequencies
abov the audio range. Referring to the block diagram in Figure 2-1, we
see that an input signal passes through an attenuator, then through a
low-pass filter ( later we shall see why the filter is here) to a mixer,
where it mixes with a signal from the local oscillator ( LO) . Because the
mixer is a non-linear d vice, its output includes not only the two
original signals, but also their harmonics and the sums and
differences of the original frequencies and their harmonics.If any
of the mixed signals falls within the pass band of the
intermediate-frequency (IF) filter, it is further processed(amplified
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Spectrum analyzer & Measurement
and perhaps compressed on a logarithmic scale) . It is essentially
rectified by the envelope detector, digitized, and displayed. A ramp
generator creates the horizontal movement across the display from left
to right. The ramp also tunes the LO so that its frequency change is in
proportion to the ramp voltage.
Figure 7. simplified block diagram of a superheterodyne spectrum analyzer
Spectrum analyzer is an invaluable item of electronic test
equipment used in the design, test and maintenance of radio frequency
circuitry and equipment. Like an oscilloscope Spectrum analyzer is also
basic test equipment used for observing signals. However, where
oscilloscopes look at signals in the time domain, spectrum analyzers
look at signals in the frequency domain. Thus a spectrum analyzer will
display the amplitude of signals on the vertical scale, and the frequency
of the signals on the horizontal scale.
At IET I worked with the Advantest U3741 spectrum analyzer.
A figure of the analyzer is shown figure 8. I participated for field
strength measurements which were done using this spectrum
analyzer.
PRODUCT DESCRIPTION
Minimum Frequency 9 kHz
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Spectrum analyzer & Measurement
Maximum Frequency 3 GHz
Frequency span Range 5 kHz to Full, zero span
Resolution bandwidth Range: 100 Hz to 1 MHz (1 to 3 steps)
Measurement range: Displayed average noise level to
+30 dBm Displayed average noise
level to 134 dBµV
Sweep timeSetting range 20 ms to 1000 s (spectrum
mode)
50 µs to 1000 s (zero span)
RF input Connector: N-type female
Frequency reference input Connector BNC 50 Ω
Impedance 50 Ω (nominal)
VSWR Input attenuator ≥ 10 dB
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Spectrum analyzer & Measurement
Figure 8 Advantest U3741 spectrum analyzer
In view of the way in which a spectrum analyzer displays its
output, it is widely used for looking at the spectrum being generated by
a source. In this way the levels of spurious signals including harmonics,
inter modulation products, noise and other signals can be monitored to
discover whether they conform to their required levels. Additionally
spectrum analyzers can make measurements of the bandwidth of
modulated signals can be checked to discover whether they fall within
the required mask. Another application of a spectrum analyzer is in
checking and testing the response of filters and networks. By using a
tracking generator -a signal generator that tracks the instantaneous
frequency being monitored by the spectrum analyzer, it is possible to
see the loss at any given frequency. In this way the spectrum analyzer
makes a plot of the frequency response of the network.
The display
The purpose of a spectrum analyzer is to provide a plot or trace of
signal amplitude against frequency. The display has a graticule which
typically has ten major horizontal and ten major vertical divisions.
The horizontal axis of the analyzer is linearly calibrated in
frequency with the higher frequency being at the right hand side of the
display. The vertical axis is calibrated in amplitude. Although there is
normally the possibility of selecting a linear or logarithmic scale, for
most applications a logarithmic scale is chosen. This is because it
enables signals over a much wider range to be seen on the spectrum
analyzer. Typically a value of 10 dB per division is used. This scale is
normally calibrated in dBm (decibels relative 1 milliwatt) and therefore
it is possible to see absolute power levels as well as comparing
the difference in level between two signals. Similarly when using
a linear scale is used, this is often calibrated in volts to enable
absolute measurements to be made using the spectrum analyzer.
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Spectrum analyzer & Measurement
Setting the frequency
To set the frequency of a spectrum analyzer, there are two
selections that can be made. These are independent of each other. The
first selection is the centre frequency. As the name suggests, this sets
the frequency of the centre of the scale to the chosen value. It is
normally where the signal to be monitored would be located. In this way
the main signal and the regions either side can be monitored. The
second selection that can be made on the analyzer is the span, or the
extent of the region either side of the centre frequency that is to be
viewed or monitored. The span may be give as a given frequency per
division, or the total span that is seen on the calibrated part of the
screen, i.e. within the maximum extents of the calibrations on the
graticule. Another option that is often available is to set the start and
stop frequencies of the scan. This is another way of expressing the span
as the difference between the start and stop frequencies is equal to the
span.
Adjusting the gain
There are many other controls on a spectrum analyzer. Most of
these fall into one of two categories. The first is associated with the gain
or attenuation of sections within the spectrum analyzer. If sections are
overloaded, then spurious signals may be generated within the
instrument. If this occurs then false readings will be giving. To prevent
this happening it is necessary to ensure that the input stages in
particular are not overloaded and an RF attenuator is used. However if
too much attenuation is inserted, additional gain is required in the later
stages (IF gain) and the background noise level is increased and
this can sometimes mask lower level signals. Thus a careful
choice of the relevant gain levels within the pectrum analyzer is
needed to obtain the optimum performance.
Spectrum Analyzer Vs. Oscilloscope
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Spectrum analyzer & Measurement
a. A spectrum analyzer displays received signal strength (y-axis)
against frequency (x-axis). An Oscilloscope, displays received
signal strength (y-axis) against time (x-axis).
b. Spectrum analyzer is useful for analyzing the amplitude response
of a device against frequency. The amplitude is normally
measured in dBm in Spectrum Analyzers, where as the same is
measured in volts when using Oscilloscopes.
c. Normally, Oscilloscope can not measure very low voltage levels
(say, -100dBm) and are intended for low frequency, high
amplitude measurements. A spectrum analyzer can easily
measure very low amplitudes (as low as -120dBm), and high
frequencies (as high as 150GHz).
d. The spectrum analyzer measurements are in frequency domain,
whereas the oscilloscope measurements are in time domain.
e. Also, a spectrum analyzer uses complex circuitry compared with
an Oscilloscope. As a result of this, the cost of a spectrum
analyzer is usually quite high.
Key Features to Consider When Buying a Spectrum Analyzer:
Resolution bandwidth Frequency range Frequency stability AC/DC Operation Service warranty
Resolution bandwidth: This is an important parameter to consider
when buying a Spectrum Analyzer. The sensitivity of the spectrum
analyzer is directly dependent on the resolution bandwidth of the
analyzer. If your measurements are over a wide band, a 3 KHz RBW is
normally sufficient. If you need to make very narrow band
measurements (such as filters), then consider a 300Hz or even a
10Hz RBW spectrum analyzer. Obviously, a spectrum analyzer
with lower RBW costs more than a spectrum analyzer with 3 KHz
RBW.
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Spectrum analyzer & Measurement
Frequency range: This is the range of frequencies that you need to
make measurements. Spectrum analyzers are available from 100 Hz to
50 GHz range. If you require measurements up to, say IF to 2.4 GHz, a
spectrum analyzer from 10MHz-2.4 GHz would be suitable.
Frequency Stability: Frequency stability is the ability of the spectrum
analyzer to maintain the frequencies within a specified accuracy. The
frequency stability is dependent on the Local Oscillator stability of the
spectrum analyzer. For narrow band measurements, this is a very
important parameter. Spectrum analyzers do not normally have very
high stability clock. If high accuracy of measurement is required,
consider buying a spectrum analyzer with provision for external
frequency reference. In such an event, the accuracy of the spectrum
analyzer is as good as the external reference.
Input Power Range: This is the range of input power that could be fed
to the spectrum analyzer input connector. Normally, this ranges from -
100 dBm to +10 dBm. Beyond the lower limits, the spectrum analyzer
may not be able to identify the signal from back ground noise. If you
feed signals beyond the maximum specified range, it is possible that the
input mixer is saturated and the reading shown on the spectrum
analyzer may not represent the actual power levels accurately. There is
also a likelihood of damaging the front-end component of the spectrum
analyzer. Use an external attenuator if it is required to measure power
levels beyond the specified limits. Please note that spectrum analyzers
are available for various input signal power levels.
Harmonics: The frequency harmonics is a measure of accuracy of the
spectrum analyzer. Normally, the harmonics are greater than 30 dB
below the desired signal. The harmonics add to the measurement
uncertainty, and should be kept to the minimum.
AC/DC operation: If you need to make measurements out-
doors, you may require DC operation. Check if it is
available.Service warranty: Normally, spectrum analyzers are
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Spectrum analyzer & Measurement
very expensive. A comprehensive warranty is recommended when
buying a spectrum analyzer. Also ensure that the rf input connection
has dc protection.
Spectrum Analyzer Applications
Device Frequency Response Measurements: You can use spectrum analyzers for
measuring the amplitude response (typically measured in dbm) against frequency of
device. The unit of frequency is Hertz. 1000Hz=1KHz, 1000Kz=1MHz, 1000MHz=1GHz.
The device may be anything from a broadband amplifier to a narrow band filter.
Microware Tower Monitoring: You can measure the transmitted power and received
power of a Microware tower. Typically, you use a directional coupler to tap the power
without interrupting the communications. In this way, you can verify that the frequency
and signal strength of your transmitter are according to the specified values.
Interference Measurements: Any large RF installations normally require site survey. A
spectrum analyzer can be used to verify identify and interferences. Any such interfering
signals need to be minimized before going ahead with the site work. Interference can be
created by a number of different sources, such as telecom microwave towers, TV stations,
or airport guidance systems etc.
Other measurements that could be made using spectrum analyzer include the following:
Return-loss measurement
Satellite antenna alignment
Spurious signals measurement
Harmonic measurements
Inter-modulation measurements
Field strength measurement
Antenna gain measurement
Functions for evaluating frequency characteristics
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Spectrum analyzer & Measurement
The normalize function enables direct measurement of cable loss
and filter characteristics. The frequency offset function of the tracking
generator enables measurement of frequency characteristics and
conversion loss characteristics of mixers and other frequency
conversion devices.
Function for return loss measurement
The SWR bridge can be used to measure reflection characteristics of an
antenna or filter. It can determine the return loss and evaluate
the VSWR.
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Spectrum analyzer & Measurement
Electric field strength
Electric field strength is a quantitative expression of the intensity
of an electric field at a particular location. The standard unit is the volt
per meter (v/m or v · m -1 ). A field strength of 1 v/m represents a
potential difference of one volt between points separated by one meter.
Any electrically charged object produces an electric field. This
field has an effect on other charged objects in the vicinity. The
field strength at a particular distance from an object is directly
proportional to the electric charge, in coulomb s, on that object.
The field strength is inversely proportional to the distance from a
charged object. The field-strength-vs-distance curve is a direct
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Spectrum analyzer & Measurement
inverse function, and not an inverse-square function, because electric
field strength is specified in terms of a linear displacement (per meter)
rather than a surface area (per meter squared).
An alternative expression for the intensity of an electric field is electric
flux density . This refers to the number of lines of electric flux passing
orthogonally (at right angles) through a given surface area, usually one
meter squared (1 m 2 ). Electric flux density, like electric field strength,
is directly proportional to the charge on the object. But flux density
diminishes with distance according to the inverse-square law, because it
is specified in terms of a surface area (per meter squared) rather than a
linear displacement (per meter).
Sometimes the strength of an electromagnetic field ( EM field ) is
specified in terms of the intensity of its electric-field component. This is
done by engineers and scientists when talking about the radio-
frequency field strength at a certain location arising from sources such
as distant transmitters, celestial objects, high-tension utility lines,
computer displays, or microwave ovens. In this context, electric field
strength is usually specified in microvolt per meter (µV/m or µV · m -1 ),
nanovolts per meter (nV/m or nV · m -1 ), or Pico volts per meter (pV/m
or pV · m -1 ).
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Spectrum analyzer & Measurement
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Spectrum analyzer & Measurement
TRAINING EXPERIANCES
ANTENNA GAIN MEASUREMENT
This measurement is used for measure the gain of an antenna.
Before issuing an antenna to the market it has to be checked for
appropriate gain because gain is the most important feature of the
antenna.
THE EQUIPMENTS THAT WE USE TO MEASURE THE GAIN OF AN
ANTENNA
Spectrum analyzer
Signal Generator
Standard Dipole Antenna
Transmit Antenna
Co-Axial Cable
Cable Connectors
Anechoic Chamber
Tripods
PROCEDURE
The dipole lengths of the receiving and transmitting antennas
were adjusted according to the specimen. Above antennas were
connected to tripods and placed them in line of sight.
Then the transmitting antenna was connected to the signal
generator’s RF output and the receiving antenna was connected to
spectrum analyzer’s RF input using RG55 cables as shown in below
Figure-09.
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Spectrum analyzer & Measurement
SPECTRUM ANALYZER & ANECHOIC CHAMBER
SIGNAL GENERATOR
STANDERD ANTENNA RECEIVING
ANTENNA
An 800MHz RF signal was supplied to the transmitting antenna
from the signal generator while keeping the Reference signal strength
at ‘0’dB level. Then the strength
(dBm value) of the receiving signal (according to the above supplied
frequency) was measured using the spectrum analyzer. After that
the supplied frequency was increased by 2MHz steps until it
reached to 900MHz (800MHz-900MHz). All the receiving dBm
values were measured for every supplied frequency and note
down.
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SPECTRUM ANALYZERSIGNAL GENERATOR
RF IN
RF OUT
TRANSMITTING ANTENNA RECEIVING ANTENNA
Spectrum analyzer & Measurement
The above procedure was repeated to the specimen and the
antenna gain was calculated using two value sets. All the above
measurements were taken under room temperature.
OBSERVATIONS
At 810MHz supplied frequency, the receiving dBm values for,
# Slandered Dipole = -54dBm
# Specimen = -47dBm
SPECIMEN CALCULATION
The antenna gain = -47dBm-(-54dBm)
= 7dBm
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Spectrum analyzer & Measurement
Figure-01
ANTENNA GAIN REPORT
(800 MHz – 900 MHz)
Communication Division
Arthur C Clarke Institute for Modern Technologies,
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Spectrum analyzer & Measurement
Katubedda,
Moratuwa.
Test report for antenna
Used equipments :-
RF Signal Generator (Agilent)
Spectrum Analyzer (Agilent)
Standard Dipole Antenna
RF Cables
Anechoic Chamber
Frequency Range :- 800 MHz – 900 MHz
Environmental Conditions :- Ambient temperature = 30 C
Test carried out inside an anechoic chamber.
Gain was measured with respect to Standard Dipole Antenna.
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Spectrum analyzer & Measurement
Attachments :-
Frequency & Gain Table.
Frequency (MHz) Antenna Gain (dBi)
800 6
802 6
804 6
806 6
808 7
810 7
812 7
814 7
816 7
818 7
820 7
822 7
824 8
826 8
828 8
830 8
832 10
834 10
836 10
838 9
840 9
842 9
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Spectrum analyzer & Measurement
844 10
846 10
848 10
850 10
852 11
854 11
856 11
858 10
860 10
862 10
864 10
866 9
868 9
870 9
872 10
874 10
876 9
878 9
880 9
882 10
884 10
886 10
888 10
890 10
892 11
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Spectrum analyzer & Measurement
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