Cable and Antenna Analyzer Measurement Guide : Windowing
 
Windowing
Introduction
The theoretical requirement for inverse FFT is for the data to extend from zero frequency to infinity. Side lobes appear around a discontinuity because the spectrum is cut off at a finite frequency. Windowing reduces the side lobes by smoothing out the sharp transitions at the beginning and the end of the frequency sweep. As the side lobes are reduced, the main lobe widens, thereby reducing the resolution.
In situations where a small discontinuity may be close to a large one, side lobe reduction windowing helps to reveal the discrete discontinuities. If distance resolution is critical, then reduce the windowing for greater signal resolution.
If two or more signals are very near to each other, then spectral resolution is important. In this case, use Rectangular Windowing for the sharpest main lobe (the best resolution).
Examples of the windowing options’ (Freq/Dist > More > Window) effects on a sample trace are shown in Examples.
In summary:
Rectangular Windowing provides best spatial distance resolution for revealing closely spaced events, but the side lobes close to any major event (large reflection) may mask smaller events which are close to the major event. Excellent choice if multiple faults of similar amplitudes close together are suspected.
Nominal Side Lobe Windowing provides very good suppression of close in side lobes, but compromises spatial distance resolution compared to Rectangular. Closely spaced events may appear as a single event, often non-symmetrical in shape. Excellent overall choice for most typical antenna system sweeps.
Low Side Lobe Windowing provides excellent suppression of close in side lobes but spatial distance resolution is worse than Nominal Side Lobe. The additional suppression of side lobes may be useful in locating very small reflection events further away from large events. It is not often used for field measurements.
Minimum Side Lobe Windowing provides highest suppression of side lobes but worst spatial distance resolution. Can be useful for finding extremely small events spaced further apart than the distance resolution. Again, not typically used for field measurements.
Examples
The types of windowing in order of increasing side lobe reduction are: rectangular, nominal side lobe, low side lobe, and minimum side lobe. Figure: Rectangular Windowing through Figure: Minimum Side Lobe Windowing show examples of the types of windowing.
Rectangular Windowing
Rectangular Windowing
Nominal Side Lobe Windowing
Nominal Side Lobe Windowing
Low Side Lobe Windowing
Low Side Lobe Windowing
Minimum Side Lobe Windowing
Minimum Side Lobe Windowing