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In electronics, noise temperature is one way of expressing the level of available noise power introduced by a component or source. The power spectral density of the noise is expressed in terms of the temperature (in kelvins) that would produce that level of Johnson–Nyquist noise, thus:

\( {\displaystyle {\frac {P_{N}}{B}}=k_{B}T}


\( {\displaystyle P_{N}} \) is the noise power (in W, watts)
B is the total bandwidth (Hz, hertz) over which that noise power is measured
\( k_{B} \) is the Boltzmann constant (1.381×10−23 J/K, joules per kelvin)
T is the noise temperature (K, kelvin)

Thus the noise temperature is proportional to the power spectral density of the noise, \( {\displaystyle P_{N}/B} \) . That is the power that would be absorbed from the component or source by a matched load. Noise temperature is generally a function of frequency, unlike that of an ideal resistor which is simply equal to the actual temperature of the resistor at all frequencies.

Noise voltage and current

A noisy component may be modelled as a noiseless component in series with a noisy voltage source producing a voltage of vn, or as a noiseless component in parallel with a noisy current source producing a current of in. This equivalent voltage or current corresponds to the above power spectral density P B {\displaystyle {\frac {P}{B}}} {\displaystyle {\frac {P}{B}}}, and would have a mean squared amplitude over a bandwidth B of:

\( {\displaystyle {\begin{aligned}{\frac {{\bar {v}}_{n}^{2}}{B}}&=4k_{B}RT\\\\{\frac {{\bar {i}}_{n}^{2}}{B}}&=4k_{B}GT\end{aligned}}}

where R is the resistive part of the component's impedance or G is the conductance (real part) of the component's admittance. Speaking of noise temperature therefore offers a fair comparison between components having different impedances rather than specifying the noise voltage and qualifying that number by mentioning the component's resistance. It is also more accessible than speaking of the noise's power spectral density (in watts per hertz) since it is expressed as an ordinary temperature which can be compared to the noise level of an ideal resistor at room temperature (290 K).

Note that one can only speak of the noise temperature of a component or source whose impedance has a substantial (and measurable) resistive component. Thus it doesn't make sense to talk about the noise temperature of a capacitor or of a voltage source. The noise temperature of an amplifier refers to the noise that would be added at the amplifier's input (relative to the input impedance of the amplifier) in order to account for the added noise observed following amplification.
Application to communication systems

A communications system is typically made up of a transmitter, a communication channel, and a receiver. The communications channel may consist of a combination of different physical media, resulting in an electrical signal presented to the receiver. Whatever physical media a channel consists of, the transmitted signal will be attenuated and corrupted with additive noise.[1]

The additive noise in a receiving system can be of thermal origin (thermal noise) or can be from other noise-generating processes. Most noise processes will have a white spectrum, at least over the bandwidth of interest, identical to that of thermal noise. Since they are indistinguishable, the contributions of all noise sources can be lumped together and regarded as a level of thermal noise. The noise power spectral density generated by all these sources ( P/B) can be described by assigning to the noise a temperature T as defined above:[2]

\( {\displaystyle T={\frac {P}{B}}\cdot {\frac {1}{k_{B}}}}

In a wireless communications receiver, the equivalent input noise temperature \( {\displaystyle T_{\text{eq}}} \) would equal the sum of two noise temperatures:

\( {\displaystyle T_{\text{eq}}=T_{\text{ant}}+T_{\text{sys}}} \)

The antenna noise temperature \( {\displaystyle T_{\text{ant}}}\) gives the noise power seen at the output of the antenna.[3] The noise temperature of the receiver circuitry \( {\displaystyle T_{\text{sys}}} \) represents noise generated by noisy components inside the receiver.

Note that T\( {\displaystyle T_{\text{eq}}} \) refers not to the noise at the output of the receiver after amplification, but the equivalent input noise power. In other words, the output of the receiver reflects that of a noiseless amplifier whose input had a noise level not of \( {\displaystyle T_{\text{ant}}} \) but of \( {\displaystyle T_{\text{eq}}} \) . Thus the figure of merit of a communications system is not the noise level at the speaker of a radio, for instance, since that depends on the setting of the receiver's gain. Rather we ask how much noise the receiver added to the original noise level before its gain was applied. That additional noise level is \( {\displaystyle Bk_{B}T_{\text{sys}}} \) . If a signal is present, then the decrease in signal to noise ratio incurred using the receiver system with a noise temperature of T sys {\displaystyle T_{\text{sys}}} {\displaystyle T_{\text{sys}}} is proportional to \( {\displaystyle 1/T_{\text{ant}}-1/(T_{\text{ant}}+T_{\text{sys}})}. \)
Noise factor and noise figure
Main article: Noise figure

One use of noise temperature is in the definition of a system's noise factor or noise figure. The noise factor specifies the increase in noise power (referred to the input of an amplifier) due to a component or system when its input noise temperature is \( T_{0} \) .

\( {\displaystyle F={\frac {T_{0}+T_{\text{sys}}}{T_{0}}}} \)

\( T_{0} \) is customarily taken to be room temperature, 290 K.

The noise factor (a linear term) is more often expressed as the noise figure (in decibels) using the conversion:

\( {\displaystyle NF=10\log _{10}(F)} \)

The noise figure can also be seen as the decrease in signal-to-noise ratio (SNR) caused by passing a signal through a system if the original signal had a noise temperature of 290 K. This is a common way of expressing the noise contributed by a radio frequency amplifier regardless of the amplifier's gain. For instance, assume an amplifier has a noise temperature 870 K and thus a noise figure of 6 dB. If that amplifier is used to amplify a source having a noise temperature of about room temperature (290 K), as many sources do, then the insertion of that amplifier would reduce the SNR of a signal by 6 dB. This simple relationship is frequently applicable where the source's noise is of thermal origin since a passive transducer will often have a noise temperature similar to 290 K.

However, in many cases the input source's noise temperature is much higher, such as an antenna at lower frequencies where atmospheric noise dominates. Then there will be little degradation of the SNR. On the other hand, a good satellite dish looking through the atmosphere into space (so that it sees a much lower noise temperature) would have the SNR of a signal degraded by more than 6 dB. In those cases a reference to the amplifier's noise temperature itself, rather than the noise figure defined according to room temperature, is more appropriate.
Noise temperature of cascaded devices
Main article: Friis formulas for noise

The noise temperature of an amplifier is commonly measured using the Y-factor method. If there are multiple amplifiers in cascade, the noise temperature of the cascade can be calculated using the Friis equation:[4]

\( {\displaystyle T_{\text{eq}}=T_{1}+{\frac {T_{2}}{G_{1}}}+{\frac {T_{3}}{G_{1}G_{2}}}+\cdots } \)


\( {\displaystyle T_{\text{eq}}} \) = resulting noise temperature referred to the input
\( T_{1} \) = noise temperature of the first component in the cascade
\( T_{2} \) = noise temperature of the second component in the cascade
\( T_{3} \) = noise temperature of the third component in the cascade
\( G_{1} \) = power gain of the first component in the cascade
\( G_{2} \) = power gain of the second component in the cascade

Therefore, the amplifier chain can be modelled as a black box having a gain of G\( {\displaystyle G_{1}\cdot G_{2}\cdot G_{3}\cdots } \) and a noise figure given by \( {\displaystyle NF=10\log _{10}(1+T_{\text{eq}}/290)} \) . In the usual case where the gains of the amplifier's stages are much greater than one, then it can be seen that the noise temperatures of the earlier stages have a much greater influence on the resulting noise temperature than those later in the chain. One can appreciate that the noise introduced by the first stage, for instance, is amplified by all of the stages whereas the noise introduced by later stages undergoes lesser amplification. Another way of looking at it is that the signal applied to a later stage already has a high noise level, due to amplification of noise by the previous stages, so that the noise contribution of that stage to that already amplified signal is of less significance.

This explains why the quality of a preamplifier or RF amplifier is of particular importance in an amplifier chain. In most cases only the noise figure of the first stage need be considered. However one must check that the noise figure of the second stage is not so high (or that the gain of the first stage is so low) that there is SNR degradation due to the second stage anyway. That will be a concern if the noise figure of the first stage plus that stage's gain (in decibels) is not much greater than the noise figure of the second stage.

One corollary of the Friis equation is that an attenuator prior to the first amplifier will degrade the noise figure due to the amplifier. For instance, if stage 1 represents a 6 dB attenuator so that \( {\displaystyle G_{1}={\frac {1}{4}}} \), then \( {\displaystyle T_{\text{eq}}=T_{1}+4T_{2}+\cdots } \). Effectively the noise temperature of the amplifier \( T_{2} \) has been quadrupled, in addition to the (smaller) contribution due to the attenuator itself \( T_{1} \) (usually room temperature if the attenuator is composed of resistors). An antenna with poor efficiency is an example of this principle, where \( G_{1} \) would represent the antenna's efficiency.
See also

Noise spectral density


Proakis, John G., and Masoud Salehi. Fundamentals of Communication Systems. Upper Saddle River, New Jersey: Prentice Hall, 2005. ISBN 0-13-147135-X.
Skolnik, Merrill I., Radar Handbook (2nd Edition). McGraw-Hill, 1990. ISBN 978-0-07-057913-2
The physical temperature of the antenna generally has little or no effect on \( {\displaystyle T_{\text{ant}}} \)

McClaning, Kevin, and Tom Vito. Radio Receiver Design. Atlanta, GA: Noble Publishing Corporation, 2000. ISBN 1-884932-07-X.


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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