Measurement basics
R&S®FSW-K50
16User Manual 1178.2750.02 ─ 16
Note that if several combinations of components, input frequencies and harmonics lead
to the same predicted spur frequency, the spur identification with the lowest harmonic
is indicated. If the frequency is still not unique, the identification with the shortest string
length is indicated.
If you transfer the predicted frequencies from a frequency plan to a directed search
measurement, the measurement is only performed at the frequencies specified in the
plan.
For details on how to perform a measurement using a frequency plan, see Chapter 7.4,
"How to perform a spurious search measurement with a DUT frequency plan",
on page 81.
3.3 Measurement process
The R&S FSW Spurious measurements application provides two different measure-
ment types (see also Chapter 4, "Measurement types and results", on page 18):
●A measurement on a wide frequency range (wide search measurement), intended
for unknown spurious scenarios.
●A detailed measurement (directed search measurement) at specific frequencies
with a small span around each frequency.
Although the two measurement types use different measurement settings, the individ-
ual measurement steps are the same for both types.
The basic measurement process consists of the following steps:
1. Spectral overview: An initial sweep from the beginning of the first defined range to
the end of the last defined range (for directed search measurement: from the first
to the last span), using a large RBW and short sweep time to obtain an overview of
the input signal quickly.
The spectral overview allows the R&S FSW Spurious measurements application to
estimate the noise floor for the current user settings for the complete frequency
span defined by the ranges or directed search measurements.
Note: If the signal contains a guard interval, you can restrict the spur search to
ignore a certain span around the carrier. In this case, the spectral overview con-
tains gaps at the specified spans.
2. Noise floor estimation: Estimation of the noise floor from the beginning of the first
defined range to the end of the last defined range (for directed search measure-
ment: from the first to the last span), determined from the spectral overview sweep.
The noise floor estimate is required to set the RBW optimally for subsequent mea-
surement steps: Due to noise variations across the frequencies, the RBW required
to achieve the user-defined spur detection threshold varies. Each range is thus
split into smaller segments that use a constant RBW setting for the complete seg-
ment span. The frequency span of the segments depends on the signal and noise
conditions and on the settings. As a result, a segment table is created. This table
Measurement process