Frequency Domain Measurements: Spectrum Analyzer or

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Frequency Domain Measurements:
Spectrum Analyzer or Oscilloscope?
Changes in test and measurement technologies are blurring the lines
between platforms and giving engineers new options
Selection Guide
For generations, the rules for RF engineers were simple: frequency-domain measurements
(output frequency, band power, signal bandwidth, etc.) were done by a spectrum analyzer, and
time domain measurements (pulse width and repetition rate, signal timing, etc.) were done by
an oscilloscope.
As the digital revolution made signal processing techniques easier and more widespread, the
lines between the two platforms began to blur. Oscilloscopes started incorporating Fast Fourier
Transform (FFT) techniques that converted the time-domain traces to the frequency domain.
Spectrum analyzers began capturing their data in the time domain and using post-processing
to generate displays. Still, there were some clear distinctions between the two platforms. For
example, oscilloscopes were limited in sample speed. They could see signals down to DC, but
only up to a few GHz. Spectrum analyzers could see high into the microwave range, but they
missed transient signals as they swept.
What if you needed to see a signal in the time domain with a carrier frequency of 40 GHz or
capture a complete wideband pulse in X-band? As technologies in EW, radar and communications move ahead, the demands on the test equipment become greater.
As more possibilities have opened for RF and microwave equipment because of new digital
processing technologies, they have also increased opportunities for test equipment. Spectrum
analyzers and oscilloscopes can do much more than they could even a few years ago, and
as they expand in capabilities, the lines between them become blurred and sometimes even
erased.
Changes in technology
The main advantages of this technique are improved accuracy and
reliability: with the analog components replaced by digital processing,
the uncertainties inherent in the analog components can be greatly
reduced. Classic spectrum analyzer components like Resolution
Bandwidth (RBW) filters and log amplifiers are now implemented
digitally and made more accurate and repeatable.
The digital revolution has changed the way spectrum analyzers and
oscilloscopes work at a fundamental level:
Spectrum analyzers
Two additional advantages are given by “pausing” the local oscillator
and collecting data around one frequency. The first is the ability to
view a wideband signal in the time domain. Because the signal is now
sampled and digitized, it can be displayed in the time domain, just like
an oscilloscope. The main difference here is the spectrum analyzer
data has been down-converted, so the displayed data is relative to the
center frequency of the measurement. The second is the ability to see
the phase information of the signal. By performing some basic DSP,
the phase of signals like communications signals and radar chirps can
be demodulated and analyzed. Some manufacturers refer to spectrum
analyzers with this capability as “signal analyzers” to reflect this new
ability to demodulate and analyze the signals riding on the carrier.
The signal analyzer still has an important limitation: the sampling
speed of the ADC in the digital IF section. This limits the analysis
bandwidth to no more than a few hundred MHz.
Most spectrum analyzers now have an all-digital signal processing
(DSP) section. Like a classic spectrum analyzer, the incoming signal is
down-converted to a much lower Intermediate Frequency (IF). This signal is sampled, digitized by an Analog-to-Digital Converter (ADC) and
processed using DSP techniques. The spectrum analyzer now provides
two modes of operation: sweeping the LO to see signals across a wide
range or “pausing” the LO to simultaneously see everything within the
analysis bandwidth allowed by the sampling rate.
RF
input
Variable
attenuator
RF
IF
Bandpass
filter
14-bit
ADC
Pre-amp
LO
Sample
clock
Sweep
generator
Figure 1. Simplified block diagram of a spectrum analyzer.
2
Digital signal
processing
Storage and
display
Oscilloscopes
The right instrument for the job
Like the IF section of a signal analyzer, signals incident on the oscilloscope’s front end are sampled and processed digitally, but at much
higher rates. There are now real-time oscilloscopes that can sample at
speeds up to 160 GSa/s, allowing the oscilloscope to see signals from
DC up to 63 GHz.
Although the two technologies overlap, there are some basic
differences:
Carrier frequency and signal bandwidth: The most important parameter to consider is the bandwidth of the signal you want to analyze. If
your signal is within the bandwidth of the spectrum analyzer and the
carrier frequency is higher than a few GHz, it is often the better option.
The spectrum analyzer’s lower sample rate will allow you to capture
and analyze data for a longer time. Also, spectrum analyzers are typically less expensive than their oscilloscope counterparts at frequencies of 10 GHz or more. However, if you need to analyze signals wider
than a few hundred MHz or to see rise and fall times below 20 ns, the
oscilloscope is the better choice.
There are some considerations that can limit the usefulness of this
architecture. One is the avalanche of data that results from such fast
sampling. Hundreds of gigabytes of data are generated per second,
and typically only fractions of a second can be captured and analyzed
at one time if the full bandwidth is used. Data processing techniques
like segmented memory can extend the capture time, but this
technique only works for pulsed or repeating signals. Another consideration is that high-speed ADCs usually only offer 8 bits of resolution,
unlike the 14 or 16 bits in signal analyzers. If you are looking for lowlevel signals across a wide frequency range (e.g., a spur search), the
spectrum analyzer has an advantage, but for most communications
and radar applications, the differences between the two boxes may
not be significant.
Voltage (power) resolution and noise floor: Data resolution may
also be a consideration. Typical spectrum analyzers sample data at
14 bits, where typical oscilloscopes are 8-bit devices. Also, unlike
the spectrum analyzer, the oscilloscope has a wide-open front end
(no filtering), and more broadband noise can find its way into in the
measurement. This can be a problem in environments that contain
high levels of noise or background signals. For many applications, data
processing techniques in the oscilloscope can reduce or eliminate this
difference.
Number of channels of data: The spectrum analyzer is a one-channel
device. Oscilloscopes are typically two- or four-channel devices.
Although spectrum analyzers can be connected coherently, this is not
trivial or inexpensive. For measurements made over two, three or four
channels, an oscilloscope has a natural advantage.
Ch. 1
input
RF
Variable
attenuator
Pre-amp
8-bit
ADC
Ch. 2
input
RF
Variable
attenuator
Pre-amp
8-bit
ADC
Digital signal
processing
Ch. 3
input
RF
Variable
attenuator
Pre-amp
8-bit
ADC
Ch. 4
input
RF
Variable
attenuator
Pre-amp
8-bit
ADC
Sample
clock
Figure 2. Simplified block diagram of a 4-channel oscilloscope.
3
Storage and
display
Examples
For more than 4 channels, the right choice might be to set aside both
of the technologies we have been discussing and go with an array of
digitizers. Without the overhead and additional components found in
spectrum analyzers and oscilloscopes, digitizers can be a compact
and cost-effective solution for analysis of multiple channels. The
disadvantage is usually the additional labor needed to configure them
and process the data.
To illustrate the practical effects of these distinctions, here are some
of the advantages and disadvantages of spectrum analyzers and oscilloscopes for common signals:
Radar signals (static carrier frequency): Typical radar signals are of
relatively low bandwidths (<100 MHz) but high carrier frequencies.
If the bandwidth fits within the analysis bandwidth of the spectrum
analyzer, then it is the logical choice. The signal analyzer will offer
higher resolution and longer capture times, typically for a lower price.
For wider radar signals, an oscilloscope may be needed to see the
entire signal at once without sweeping.
As a result of the incorporation of digital signal processing techniques
inside spectrum analyzers and oscilloscopes, the lines that distinguish
the two technologies have become blurred to the point where for
some applications, the best spectrum analyzer might be an oscilloscope, and the best oscilloscope might be a spectrum analyzer. In
either case, the user will find that today’s instruments are far more
capable and powerful than those available even a decade ago.
Frequency-hopping signals: If the signal is hopping within the analysis bandwidth of the signal analyzer, gap-free data can be collected
for several seconds (in some cases, several minutes or hours using an
external RAID array) vs. several milliseconds for a high-speed oscilloscope. If the frequency range of the hopping signal is wider, the user
will need to move to an oscilloscope.
Wideband communications signals: A high-speed oscilloscope can
be a great tool for demodulating and analyzing communications signals with symbol rates higher than 100 MHz. Measurements of signals
at Ka and Ku bands with symbol rates of several GHz are common.
Small signal searching: The key to searching for spurs and other
low-power signals is limiting the amount of noise in the measurement.
The signal analyzer’s ability to perform a narrowband sweep over a
wide range of frequencies, thereby filtering out most broadband noise,
makes it an ideal tool for small signal searches.
Multi-channel signals: For some applications like Phased Array Radar,
Multiple Antenna Detection systems and MIMO communications, it
may be desirable to analyze and compare a dozen or more signals in
parallel. Here the oscilloscope has the natural advantage of being a
4-channel device, with time-coherent channels.
Spectrum analyzer
Oscilloscope
Analysis bandwidth
Up to a few hundred MHz
Up to the highest frequency of the instrument
Microwave frequencies
Yes
Yes, but more expensive
Length of capture
Seconds or minutes
Milliseconds
Demodulation/analysis
Yes
Yes
Fast rise/fall times
20 ns
5 ps
Multi-channel signals
Requires multiple boxes and synchronization
4 channels within one box, more channels can
be achieved with multiple boxes or digitizers
Figure 3. Comparison of the two platforms for some typical parameters.
4
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Published in USA, January 17, 2013
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