Specifications
Chapter 15 131
Concepts
Resolving Closely Spaced Signals
Concepts
For best sweep times and keeping the analyzer calibrated set the sweep 
time (
Sweep, Sweep Time) to Auto, and the auto sweep time (Sweep, Auto 
Sweep Time
) to Norm. Use the widest resolution bandwidth that still 
permits resolution of all desired signals. 
NOTE For ESA-E Series Spectrum Analyzers:
Option 1DR adds narrower resolution bandwidths, from 10 Hz to 
300 Hz, in a 1-3-10 sequence and 200 Hz CISPR bandwidth. These 
bandwidths are digitally implemented and have a much narrower 
shape factor than the wider, analog resolution bandwidths. Also, the 
auto coupled sweep times when using the digital resolution bandwidths 
are much faster than analog bandwidths of the same width. For 
analyzers with Option 1DR, firmware revision A.08.00 and greater, and 
Option 1D5 which adds a high-stability frequency precision reference to 
the analyzer, resolution bandwidths of 1 Hz and 3 Hz are also available.
Resolving Small Signals Hidden by Large Signals
When dealing with the resolution of signals that are close together and 
not equal in amplitude, you must consider the shape of the IF filter of 
the analyzer, as well as its 3 dB bandwidth. (See “Resolving Signals of 
Equal Amplitude” on page 130 for more information.) The shape of a 
filter is defined by the selectivity, which is the ratio of the 60 dB 
bandwidth to the 3 dB bandwidth. If a small signal is too close to a 
larger signal, the smaller signal can be hidden by the skirt of the larger 
signal. 
To view the smaller signal, select a resolution bandwidth such that k is 
less than a (see Figure 15-1). The separation between the two signals 
(a) must be greater than half the filter width of the larger signal (k), 
measured at the amplitude level of the smaller signal.
The digital filters in the ESA and PSA have filter widths about 
one-third as wide as typical analog RBW filters. This enables you to 
resolve close signals with a wider RBW (for a faster sweep time).
Figure 15-1  RBW Requirements for Resolving Small Signals 










