RBW Formula:
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Resolution Bandwidth (RBW) is the frequency resolution of a spectrum analyzer or FFT-based measurement system. It determines the smallest frequency difference that can be distinguished between two signals.
The calculator uses the RBW equation:
Where:
Explanation: The RBW is inversely proportional to the FFT size - larger FFT sizes provide better frequency resolution.
Details: Proper RBW setting is crucial for accurate spectral measurements. Too wide RBW may miss closely spaced signals, while too narrow RBW increases measurement time unnecessarily.
Tips: Enter sample rate in Hz and FFT size in points. Both values must be positive numbers.
Q1: How does RBW affect measurement time?
A: Narrower RBW requires longer measurement times as more samples are needed for the same frequency span.
Q2: What's the relationship between RBW and frequency resolution?
A: RBW directly determines the frequency resolution - smaller RBW means better ability to distinguish closely spaced frequencies.
Q3: How do I choose appropriate FFT size?
A: Choose based on required frequency resolution (RBW) and available processing power/memory. Larger FFT sizes provide better resolution but require more computation.
Q4: Does windowing affect RBW?
A: Windowing increases the effective RBW by a factor (window bandwidth factor) specific to the window type used.
Q5: What's typical RBW for common applications?
A: Audio analysis might use 1-10 Hz RBW, RF measurements typically use 1 kHz-1 MHz RBW depending on application.