NBW

Noise Bandwidth

/noyz band-width/
Noise bandwidth is the equivalent rectangular bandwidth that passes the same total noise power as the actual filter shape. For a brick-wall filter, noise BW = 3 dB BW. For practical filters: Butterworth NBW = 1.11 x BW_3dB, Bessel NBW = 1.04 x BW_3dB, 4th-order Chebyshev NBW = 1.03 x BW_3dB. Noise bandwidth is used in sensitivity calculations: MDS = -174 + NF + 10*log(NBW).
Category: System Performance
Related to: Bandwidth, Noise Figure, Filter, Sensitivity, PSD
Units: Hz

Understanding Noise Bandwidth

Noise bandwidth is often confused with 3 dB bandwidth, but they are different quantities. NBW accounts for the total noise passed by the filter's skirts beyond the 3 dB points, which contributes to the noise floor.

Noise BW Correction Factors

Filter TypeNBW / BW_3dB
Ideal brick-wall1.000
1st-order RC1.571
2nd-order Butterworth1.111
4th-order Butterworth1.026
Gaussian1.065
5-pole Chebyshev (0.1 dB)1.010
Common Questions

Frequently Asked Questions

What is noise bandwidth?

NBW is the equivalent rectangular bandwidth passing the same noise as the actual filter. NBW >= BW_3dB because filter skirts pass additional noise. Used in sensitivity: MDS = -174 + NF + 10*log(NBW).

Does filter shape matter for sensitivity?

Yes. A 1st-order filter has NBW = 1.57 x BW_3dB, passing 2 dB more noise than a brick-wall filter. Higher-order filters approach NBW = BW_3dB. For accurate sensitivity calculation, use NBW, not BW_3dB.

How is noise bandwidth measured?

Integrate the filter power response over all frequencies and divide by the peak response: NBW = integral(|H(f)|^2 df) / |H(f_peak)|^2. The result is the width of a rectangle with equal area and equal peak height.

System Design

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