Selecting A Type - Agilent Technologies ENA Series User Manual

Selecting a type

There are 2 types of transformation to time domain: band pass and low pass. The
appropriate transformation type differs depending on the DUT.
Comparison between the band pass mode and the 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/refl You can perform both transmission and
ection reflection measurements.
measurement
Identification of You can identify the locations of
mismatches mismatches.
Resolution
o Liner magnitude format
Available data
format
•
•
o Log magnitude format
•
•
o SWR format
•
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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 is estimated from the first
several 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 time domain improves
two times compared to the band pass
mode.
o Real format
• In the low pass mode, the real
format is useful because the time
axis data does not have phase
information.
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