PNA-X Datasheet, PDF (16/41 Pages) Keysight Technologies – Microwave Network Analyzers

16 | Keysight | PNA-X Series Microwave Network Analyzers - Brochure
Innovative
Applications
Fast and accurate gain
compression versus
frequency measurements
of ampliiers and
converters
(Option 086)
Gain compression measurement challenges
– Characterizing ampliier or frequency converter compression over its operating
frequency range requires measurements at many frequency and power points, so
setting up the measurements, calibration, and data manipulation takes a lot of time
and effort
– A variety of errors degrade measurement accuracy, such as mismatch between the
test port and the power sensor and DUT during absolute power measurements, and
using linear S-parameter error correction in nonlinear compression measurements
PNA-X gain compression application (GCA) provides:
– Fast and convenient measurements with SMART Sweep
– Highly accurate results using a guided calibration that provides power and mismatch
correction
– Complete device characterization with two-dimensional (2D) sweeps, with the
choice of sweeping power per frequency, or sweeping frequency per power
– Flexibility with a variety of compression methods—compression from linear gain,
maximum gain, X/Y compression, compression from back-off, or compression from
saturation
Gain
Compression
point
Gain
Iteration point
Compression point
Pin
Frequency
A network analyzer is commonly used for gain compression measure-
ments by performing power sweeps at multiple CW frequencies. The
PNA-X’s GCA makes it easy to characterize compression over the DUT’s
operating frequency range with extreme speed and accuracy, and a
simple setup.
Pin
Frequency
Instead of a linear power sweep with many points, GCA’s SMART Sweep
uses an adaptive algorithm to ind the desired compression point at each
frequency with just a few power measurements, thus signiicantly reducing
test times.
Using only power correction, incident
power at compression point exhibits
large ripple due to DUT mismatch
Measurement ripple is reduced with GCA
by using power and mismatch correction
Complete device response to 2D sweeps—gain versus frequency and
power—can be extracted for device modeling.