Selecting A Type - Agilent Technologies ENA Series User Manual

Rf network analyzers
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Selecting a type

There are two types of transformation to the time domain: band pass and low pass. The
appropriate transformation type depends on the DUT.
Comparison between band pass mode and low pass mode
Item
Band pass
Appropriate DUT
DUTs that do not operate with dc current
such as band pass filters.
Input signal
You can simulate the response to the
impulse signal.
Selection of the
You can select the sweep range arbitrarily.
sweep range
Transmission/
You can perform both transmission and
reflection
reflection measurements.
measurement
Identification of
You can identify the locations of
mismatches
mismatches.
Resolution
Available data
Liner magnitude format
format
Log magnitude format
SWR format
Chapter 9
In the reflection measurement, it
indicates the mean of the reflection
coefficient within the frequency
sweep range.
In the transmission measurement,
it indicates the mean of the
transmission coefficient within the
frequency sweep range.
In the reflection measurement, it
indicates the mean of the return
loss within the frequency sweep
range.
In the transmission measurement,
it indicates the mean of the
transmission gain within the
frequency sweep range.
In the reflection measurement, it
indicates the mean of SWR
(standing wave ratio) within the
frequency sweep range.
Analysis in Time Domain (Option 010)
Transformation to time domain
Low pass
DUTs that operate with dc current such as
cables.
You can simulate the TDR measurement.
You can simulate the response to both the
impulse signal and step signal.
Because dc data are estimated from the
first few points, the frequencies of
measurement points must be multiples of
the start frequency.
You can perform both transmission and
reflection measurements.
You can identify the locations of
mismatches and the type of impedance
(capacitive or inductive).
The resolution in the time domain
increases by two times over that in the
band pass mode.
Real format
In the low pass mode, the real
format is useful because the time
axis data do not have phase
information.
335

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