Resolution Bandwidth (RBW)
And Why It Is Important In Intermodulation Analysis
Resolution bandwidth (RBW) is defined as the width of the bandpass filter that is swept across the frequency range when performing RF spectrum analysis. A more narrow RBW
provides finer frequency resolution and the ability to differentiate signals that have frequencies that are close together. When a wider RBW is applied then signals tend to blend together,
hiding available "white space" that exists between transmitters. When you import a spectrum trace for intermodulation analysis then the RBW of the scan is of critical importance because the
less white space that is available then the smaller the size of the resultant frequency set. RBW is not a factor if you are not importing a spectrum trace and simply specifying
Start and End frequencies.
So -- why not use the smallest possible RBW for all spectrum scans? The answer is: Sweep Time -- the smaller the RBW then the more data is acquired and the longer the refresh time between scans. The
Sweep Time is proportional to the trace's span and inversely proportional to RBW squared:
Sweep Time = (k * Span) / RBW^2
As you can see, the Sweep Time or Refresh Rate decreases as you decrease the frequency span of your spectrum trace and increases (exponentially) as you decrease the RBW. So -- as in real life --
everything comes down to a trade-off. Finer resolution means longer Sweep Times. For purposes of intermodulation analysis and frequency coordination, the "rule of thumb" is an RBW that is at least
25 KHz (or more narrow).
In addition to differentiating signals and revealing available white space, RBW affects the noise floor -- typically, the more narrow the RBW then the lower the noise floor.