User manual

Mathematics
R&S
®
RTO
193User Manual 1316.0827.02 ─ 06
Conventional oscilloscopes calculate one FFT per capture. The R&S RTO can calculate
multiple FFTs per capture by dividing one capture into several frames. Thus, the RTO
can visualize how the frequency content of a signal changes over time which helps to
detect intermittent or sporadic signal details. Furthermore, the R&S RTO allows consec-
utive frames to overlap. This is especially useful in conjunction with window functions
since it enables a gap-free frequency analysis of the signal.
The overlapping factor can be set freely. The higher the overlap factor, the more frames
are used. This leads to more individual results and improves detection of transient signal
effects. However, it also extends the duration of the calculation. The size of the frame
depends on the number of input signal values (record length), the overlap factor, and the
FFT size (number of samples used for FFT calculation).
Frame
length
Overlap area
Record
length
Window functions
Each frame is multiplied with a specific window function after sampling in the time domain.
Windowing helps minimize the discontinuities at the end of the measured signal interval
and thus reduces the effect of spectral leakage, increasing the frequency resolution.
There are a number of window functions that can be used in FFT analysis. Each of the
window functions has specific characteristics, including some advantages and some
trade-offs. These characteristics need to be considered carefully to find the optimum
solution for the measurement task.
For details, see "Window type" on page 201.
Gating functions
You can restrict the time base of the input signal for which FFT analysis is to be performed.
There are various methods to do so:
Define absolute start and stop times for the time base extract
Define relative start and stop values that define a percentage of the original time base
Couple the time base extract for FFT to an active zoom area.
The gate area can be indicated in the signal diagram, if desired.
FFT Analysis