Basics on I/Q Data Acquisition and Processing
R&S
®
FSV/A3000 I/Q
Analyzer
38
User Manual 1178.8536.02 ─ 01
An application note on converting Rohde
&
Schwarz I/Q data files is available from the
Rohde & Schwarz website:
1EF85: Converting R&S I/Q data files
The export functions are available in the "Save/Recall" menu which is displayed when
you select the "Save" or "Open" icon in the toolbar (see
on page 47). The import functions are available in the "I/Q File"
dialog box (see
Chapter 5.3.1.2, "Settings for Input from I/Q Data Files"
4.8
Basics on FFT
The I/Q Analyzer measures the power of the signal input over time. To convert the time
domain signal to a frequency spectrum, an FFT (Fast Fourier Transformation) is per-
formed which converts a vector of input values into a discrete spectrum of frequencies.
t[s]
FFT
f[Hz]
4.8.1
Window Functions
The Fourier transformation is not performed on the entire captured data in one step.
Only a limited number of samples is used to calculate an individual result. This process
is called windowing.
After sampling in the time domain, each window is multiplied with a specific window
function. Windowing helps minimize the discontinuities at the end of the measured sig-
nal interval and thus reduces the effect of spectral leakage, increasing the frequency
resolution.
Various different window functions are provided in the R&S
FSV/A to suit different input
signals. Each of the window functions has specific characteristics, including some
advantages and some trade-offs. Consider these characteristics to find the optimum
solution for the measurement task.
Basics on FFT