Howtosignalprocessing
Sweep time = k(span)/RBW2, where k = constant of proportionality. Notice that when the RBW filter is reduced by a factor of 10, the sweep time goes up by a factor of 100 due to the squaring of the RBW filter value. Selecting the optimum RBW filter is clearly critical for fast measurements.
- What is sweep time in spectrum?
- What is a spectrum analyzer sweep?
- Why does the sweep time changes as you change the RBW?
- What is swept-tuned analyzer?
What is sweep time in spectrum?
Sweep Time. It is the amount of time required to sweep through the frequency span. If baseband noise is not a consideration, one generally wants to minimize the sweep time.
What is a spectrum analyzer sweep?
A swept-tuned spectrum analyzer displays measurement results sequentially—in other words, not in ''real-time. '' This is because a swept-tuned analyzer, in effect, uses a single narrow filter that is tuned across a range of frequencies to produce a spectrum display.
Why does the sweep time changes as you change the RBW?
As explained in Basic (1), RBW is a narrow band IF filter, so the narrower the band, the smaller the total amount of noise. However, since the IF filter has a time constant, the sweep speed becomes slower as the RBW is narrowed. This is because the sweep speed is inversely proportional to the square of RBW.
What is swept-tuned analyzer?
A swept-tuned analyzer uses a superheterodyne receiver to down-convert a portion of the input signal spectrum to the center frequency of a narrow band-pass filter, whose instantaneous output power is recorded or displayed as a function of time.
