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Noise figure

Noise figure is a science topic covered in the lgStudy science library. This page brings together a partial reference excerpt, illustrations, worked examples, real-world applications and a short study plan, so you can understand Noise figure rather than just read about it. In short: Noise figure (NF) and noise factor (F) are figures of merit that indicate degradation of the signal-to-noise ratio (SNR) that is caused by components in a signal chain. These figures of merit are used to evaluate the performance of an amplifier or a radio receiver, with lower values indicating better performance.

Noise figure — main illustration
Noise figure — illustration

Key takeaways

  • Noise figure belongs to science; place it in that map before memorising details.
  • Learn the definition first, then one example that makes the definition concrete.
  • Connect Noise figure to a quantity you can measure, compute or draw — that is where exam questions come from.
  • Reproduce the core statement of Noise figure from memory before moving on to harder problems.

Reference excerpt

Noise figure (NF) and noise factor (F) are figures of merit that indicate degradation of the signal-to-noise ratio (SNR) that is caused by components in a signal chain. These figures of merit are used to evaluate the performance of an amplifier or a radio receiver, with lower values indicating better performance. The noise factor is defined as the unitless 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, which is equivalent to the ratio of input SNR to output SNR. The noise figure is the power level of the noise factor, calculated in terms of the logarithm of noise factor and expressed in scale of decibels (dB).

General The noise figure is the difference in decibel (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 the Boltzmann 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. 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.

Definition The noise factor F of a system is defined as

where SNRi and SNRo are the input and output signal-to-noise ratios respectively. The SNR quantities are unitless power ratios. Note that this specific definition is only valid for an input signal of which the noise is Ni=kT0B. The noise figure NF is defined as the noise factor in units of decibels (dB):

where SNRi, dB and SNRo, dB are in units of (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:

F = 1 + T e T 0 . {\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

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

Noise factor of cascaded devices

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

… excerpt ends here. Continue reading the full article.

Worked examples

Example 1 — a first encounter with Noise figure

Start with the simplest possible case. Write down what Noise figure claims or describes in one sentence, then invent the smallest concrete situation in which that sentence is true. In science, the smallest case is usually a single object, a single equation or a single measurement. Check that every symbol or term in your sentence has a meaning in that case.

Example 2 — changing one variable

Take the situation from Example 1 and change exactly one quantity: double it, halve it, or set it to zero. Predict what should happen to Noise figure before you calculate. Comparing your prediction with the result is the fastest way to find out whether you understand the idea or only the words.

Example 3 — an exam-style question

Typical questions about Noise figure ask you to (a) state it precisely, (b) apply it to given data, and (c) explain a limitation. Practise writing all three answers in under five minutes; the third part is what separates a full-mark answer from an average one.

Applications of Noise figure

In research
Noise figure appears in science research whenever the underlying quantities have to be modelled precisely. Papers usually cite it as a starting assumption and then explore where it breaks down.
In technology and industry
Engineering practice reuses Noise figure in design rules, simulations and safety margins. Knowing the idea lets you read a specification sheet and understand why the numbers look the way they do.
In the classroom
Noise figure is common in secondary-school and first-year university syllabi. It links to neighbouring topics Acoustics, Noise (electronics), Radar signal processing, so understanding it makes those chapters shorter.
In everyday life
Look for Noise figure outside the textbook — in sport, cooking, traffic, electronics or the sky above you. An example you found yourself is remembered far longer than one you were given.
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How to study Noise figure in 20 minutes

  1. Read the reference excerpt below once, without taking notes.
  2. Close the page and write down what Noise figure means in your own words.
  3. Compare your version with the excerpt and mark what you missed.
  4. Work through the three examples above with pen and paper.
  5. Explain Noise figure out loud to somebody else — or to Teacher Smith in the lgStudy chat.

Frequently asked questions

What is Noise figure in simple terms?

Noise figure (NF) and noise factor (F) are figures of merit that indicate degradation of the signal-to-noise ratio (SNR) that is caused by components in a signal chain. These figures of merit are used to evaluate the performance of an amplifier or a radio receiver, with lower values indicating bett…

Why does Noise figure matter?

Because it connects several science ideas at once: it gives you a definition you can apply, a quantity you can calculate, and a way to check whether a result is plausible.

How should I study Noise figure?

Read the excerpt, restate it from memory, then work through the examples and applications listed on this page. The five-step study plan above takes about twenty minutes.

What does this page cover?

It gives you a compact reference excerpt plus original lgStudy explanations, examples, applications and study material on Noise figure.

Tags

  • Acoustics
  • Noise (electronics)
  • Radar signal processing
  • Sound

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