RF Toolbox

Bandpass Sampling & Nyquist Zones

A bandpass signal can be digitized directly at a sample rate far below its carrier — undersampling — as long as the whole band lands inside a single Nyquist zone. This tool finds the zone the signal falls in, the aliased IF it appears at after sampling, whether the spectrum is inverted, whether folding corrupts the band, and the theoretical minimum sample rate.

Equations & Parameters ▸
\(\text{zone } n = \left\lfloor \dfrac{f_c}{f_s/2}\right\rfloor + 1 \qquad f_{\text{IF}} = \left|\,f_c - f_s\cdot\text{round}(f_c/f_s)\,\right|\)
\(f_{s,\min} = 2B \qquad \text{no folding if } \left\lfloor\dfrac{f_L}{f_s/2}\right\rfloor = \left\lfloor\dfrac{f_H}{f_s/2}\right\rfloor\)
fcSignal centre frequency (MHz).
BSignal bandwidth (MHz). The band spans fc ± B/2.
fsSample rate (MHz).
fIFFrequency the signal aliases to in the first Nyquist zone (0 … fs/2).
inversionEven Nyquist zones fold the spectrum, reversing the frequency axis.
References: R. G. Vaughan, N. L. Scott & D. R. White, "The theory of bandpass sampling," IEEE Trans. Signal Process., 1991. · Analog Devices, MT-002, What the Nyquist Criterion Means to Your Sampled Data System.
Inputs
MHz
Carrier
MHz
Signal BW
MHz
ADC clock
Results

Sampled result

Nyquist zone
Aliased IF
Spectral inversion

Validity

Folding-free?
Min. sample rate
Diagram