Keysight Technologies C Series - Trace Averaging; Alignments; Detection Method

340 Keysight N9915-90020 User’s Guide
Electromagnetic Interference (EMI) Measurements – Option 361
EMI Measurements Mode Settings
Trace Averaging
Within EMI mode, the detectors provide the critical necessary averaging (i.e.,
EMI Average and Quasi Peak), but similar to SA mode, if needed, you can
perform Trace Averaging. Refer to “Average Type” on page 204 and “Average
Count” on page 205
in Chapter 9, “SA (Spectrum Analyzer) Mode (Option
233–Mixed Analyzers)FUTURE.”
Alignments
EMI measurements mode uses amplitude alignment and channel equalization.
Learn more, refer to the SA chapter’s
“Alignments” on page 206 for
information on all alignments.
Detection Method
Using the EMI feature, can have one of three specific independent detection
methods: Fast SA Scan, is similar to the original detection method used in SA
mode that can use only one detector. CISPR Band Scan and CISPR Zoom
Scan use a newer detection method that uses one detector per trace (e.g., up
to three detectors and three traces simultaneously). Learn more, refer to
“Trace Display States (EMI Mode)” on page 338.
APD Statistics uses trace inputs in lieu of detection. Learn more, refer to
“Input
– (Trace Input for APD Measurements)” on page 341
.
How to set Detection Method
The current Detection method for each trace is labeled on the left edge of the
screen. A corresponding letter appears below the corresponding Trace number
selected. For example: P means that Positive Peak was the selected detector.
—Press Trace_6
> Detector
— Then choose from the following:
The following softkeys are available when CISPR Band is set to Fast SA
Scan:
—
Auto Displays the most appropriate Detection method based on
other settings. [# is NOT shown]
— Normal [#Nrm also referred to as Rosenfell] Provides a better visual
display of random noise than Positive peak and avoids the
missed-signal problem of the Sample Mode. Should the signal both
rise and fall within the bucket interval, then the algorithm classifies
the signal as noise. An odd-numbered data point displays the
maximum value encountered during its bucket. An even-numbered