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Noise figure (NF) and noise factor (F) are measures of degradation of the signal-to-noise ratio (SNR), caused by components in a signal chain. It is a number by which the performance of an amplifier or a radio receiver can be specified, with lower values indicating better performance.

The noise factor is defined as the ratio of the output noise power of a device to the portion thereof attributable to thermal noise in the input termination at standard noise temperature T0 (usually 290 K). The noise factor is thus the ratio of actual output noise to that which would remain if the device itself did not introduce noise, or the ratio of input SNR to output SNR.

The noise figure is simply the noise factor expressed in decibels (dB).[1]


The noise figure is the difference in decibels (dB) between the noise output of the actual receiver to the noise output of an “ideal” receiver with the same overall gain and bandwidth when the receivers are connected to matched sources at the standard noise temperature T0 (usually 290 K). The noise power from a simple load is equal to kTB, where k is Boltzmann's constant, T is the absolute temperature of the load (for example a resistor), and B is the measurement bandwidth.

This makes the noise figure a useful figure of merit for terrestrial systems, where the antenna effective temperature is usually near the standard 290 K. In this case, one receiver with a noise figure, say 2 dB better than another, will have an output signal to noise ratio that is about 2 dB better than the other. However, in the case of satellite communications systems, where the receiver antenna is pointed out into cold space, the antenna effective temperature is often colder than 290 K.[2] In these cases a 2 dB improvement in receiver noise figure will result in more than a 2 dB improvement in the output signal to noise ratio. For this reason, the related figure of effective noise temperature is therefore often used instead of the noise figure for characterizing satellite-communication receivers and low-noise amplifiers.

In heterodyne systems, output noise power includes spurious contributions from image-frequency transformation, but the portion attributable to thermal noise in the input termination at standard noise temperature includes only that which appears in the output via the principal frequency transformation of the system and excludes that which appears via the image frequency transformation.

The noise factor F of a system is defined as[3]

\( {\displaystyle F={\frac {\mathrm {SNR} _{\text{i}}}{\mathrm {SNR} _{\text{o}}}}} \)

where SNRi and SNRo are the input and output signal-to-noise ratios respectively. The SNR quantities are power ratios. The noise figure NF is defined as the noise factor in dB:

\( {\displaystyle \mathrm {NF} =10\log _{10}(F)=10\log _{10}\left({\frac {\mathrm {SNR} _{\text{i}}}{\mathrm {SNR} _{\text{o}}}}\right)=\mathrm {SNR} _{\text{i, dB}}-\mathrm {SNR} _{\text{o, dB}}} \)

where SNRi, dB and SNRo, dB are in decibels (dB). These formulae are only valid when the input termination is at standard noise temperature T0 = 290 K, although in practice small differences in temperature do not significantly affect the values.

The noise factor of a device is related to its noise temperature Te:[4]

\({\displaystyle F=1+{\frac {T_{\text{e}}}{T_{0}}}.} \)

Attenuators have a noise factor F equal to their attenuation ratio L when their physical temperature equals T0. More generally, for an attenuator at a physical temperature T, the noise temperature is Te = (L − 1)T, giving a noise factor

\( {\displaystyle F=1+{\frac {(L-1)T}{T_{0}}}.} \)

Noise factor of cascaded devices
Main article: Friis formulas for noise

If several devices are cascaded, the total noise factor can be found with Friis' formula:[5]

\( F=F_{1}+{\frac {F_{2}-1}{G_{1}}}+{\frac {F_{3}-1}{G_{1}G_{2}}}+{\frac {F_{4}-1}{G_{1}G_{2}G_{3}}}+\cdots +{\frac {F_{n}-1}{G_{1}G_{2}G_{3}\cdots G_{{n-1}}}}, \)

where Fn is the noise factor for the n-th device, and Gn is the power gain (linear, not in dB) of the n-th device. The first amplifier in a chain usually has the most significant effect on the total noise figure because the noise figures of the following stages are reduced by stage gains. Consequently, the first amplifier usually has a low noise figure, and the noise figure requirements of subsequent stages is usually more relaxed.
Noise factor as a function of additional noise
The source outputs a signal of power \( S_{i} \) and noise of power \( N_{i} \). Both signal and noise get amplified. However, in addition to the amplified noise from the source, the amplifier adds additional noise to its output denoted \( N_{a} \). Therefore, the SNR at the amplifier's output is lower than at its input.

The noise factor may be expressed as a function of the additional output referred noise power \( N_{a} \) and the power gain G of an amplifier.

\({\displaystyle F=1+{\frac {N_{a}}{N_{i}G}}} \)


From the definition of noise factor[3]

\( {\displaystyle F={\frac {\mathrm {SNR} _{\text{i}}}{\mathrm {SNR} _{\text{o}}}}={\frac {\frac {S_{i}}{N_{i}}}{\frac {S_{o}}{N_{o}}}},} \)

and assuming a system which has a noisy single stage amplifier. The signal to noise ratio of this amplifier would include its own output referred noise \( N_{a} \), the amplified signal \( {\displaystyle S_{i}G} \) and the amplified input noise \( {\displaystyle N_{i}G}, \)

\( {\displaystyle {\frac {S_{o}}{N_{o}}}={\frac {S_{i}G}{N_{a}+N_{i}G}}} \)

Substituting the output SNR to the noise factor definition,[6]

\( {\displaystyle F={\frac {\frac {S_{i}}{N_{i}}}{\frac {S_{i}G}{N_{a}+N_{i}G}}}={\frac {N_{a}+N_{i}G}{N_{i}G}}=1+{\frac {N_{a}}{N_{i}G}}} \)

See also

Noise (electronic)
Noise figure meter
Noise level
Thermal noise
Signal-to-noise ratio

Agilent 2010, p. 7
Agilent 2010, p. 5.
Agilent 2010, p. 7 with some rearrangement from Te = T0(F − 1).
Agilent 2010, p. 8.

Aspen Core. Derivation of noise figure equations (DOCX), pp. 3–4

Agilent (August 5, 2010), Fundamentals of RF and Microwave Noise Figure Measurements (PDF), Application Note, 57-1

External links

Noise Figure Calculator 2- to 30-Stage Cascade
Noise Figure and Y Factor Method Basics and Tutorial
Mobile phone noise figure


Noise (physics and telecommunications)

Acoustic quieting Distortion Noise cancellation Noise control Noise measurement Noise power Noise reduction Noise temperature Phase distortion

Noise in...

Audio Buildings Electronics Environment Government regulation Human health Images Radio Rooms Ships Sound masking Transportation Video

Class of noise

Additive white Gaussian noise (AWGN) Atmospheric noise Background noise Brownian noise Burst noise Cosmic noise Flicker noise Gaussian noise Grey noise Jitter Johnson–Nyquist noise (thermal noise) Pink noise Quantization error (or q. noise) Shot noise White noise Coherent noise
Value noise Gradient noise Worley noise


Channel noise level Circuit noise level Effective input noise temperature Equivalent noise resistance Equivalent pulse code modulation noise Impulse noise (audio) Noise figure Noise floor Noise shaping Noise spectral density Noise, vibration, and harshness (NVH) Phase noise Pseudorandom noise Statistical noise


Carrier-to-noise ratio (C/N) Carrier-to-receiver noise density (C/kT) dBrnC Eb/N0 (energy per bit to noise density) Es/N0 (energy per symbol to noise density) Modulation error ratio (MER) Signal, noise and distortion (SINAD) Signal-to-interference ratio (S/I) Signal-to-noise ratio (S/N, SNR) Signal-to-noise ratio (imaging) Signal-to-interference-plus-noise ratio (SINR) Signal-to-quantization-noise ratio (SQNR) Contrast-to-noise ratio (CNR)

Related topics

List of noise topics Acoustics Colors of noise Interference (communication) Noise generator Spectrum analyzer Thermal radiation


Low-pass filter Median filter Total variation denoising Wavelet denoising

2D (Image)

Gaussian blur Anisotropic diffusion Bilateral filter Non-local means Block-matching and 3D filtering (BM3D) Shrinkage Fields Denoising autoencoder (DAE) Deep Image Prior

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