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SNDR

SNDR 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 SNDR rather than just read about it. In short: Signal-to-noise and distortion ratio (SNDR) is a term used for a set of measures of the quality of a signal from a communications device. These include SINAD and SINADR.

Key takeaways

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

Reference excerpt

Signal-to-noise and distortion ratio (SNDR) is a term used for a set of measures of the quality of a signal from a communications device. These include SINAD and SINADR.

SINAD The signal-to-noise and distortion ratio (SINAD) is a measure of the quality of a signal from a communications device, often defined as

S I N A D = 10 log 10 ⁡ P signal + P noise + P distortion P noise + P distortion , {\displaystyle \mathrm {SINAD} =10\log _{10}{\frac {P_{\text{signal}}+P_{\text{noise}}+P_{\text{distortion}}}{P_{\text{noise}}+P_{\text{distortion}}}},}

where P {\displaystyle P} is the average power of the signal, noise and distortion components. The noise power term can include both thermal noise and quantization noise. SINAD is usually expressed in dB and is quoted alongside the receiver RF sensitivity, to give a quantitative evaluation of the receiver sensitivity. Note that with this definition, unlike SNR, a SINAD reading can never be less than 1 (i.e. it is always positive when quoted in dB). When calculating the distortion, it is common to exclude the DC components. Due to widespread use, SINAD has collected several different definitions. SINAD is commonly defined as:

The ratio of (a) total received power, i.e., the signal to (b) the noise-plus-distortion power. This is modeled by the equation above. The ratio of (a) the power of a test signal, i.e. a sine wave, to (b) the residual received power, i.e. noise-plus-distortion power. With this definition, it is possible to have a SINAD level less than one. This definition is used in the calculation of effective number of bits (ENOB) for DACs and ADCs. Information on the relations between SINAD, ENOB, SNR, THD and SFDR can be found in the footnotes of this article.

Commercial radio specifications A typical example, quoted from a commercial hand held VHF or UHF radio, might be:

Receiver sensitivity: 0.25 μV at 12 dB SINAD. This is stating that the receiver will produce intelligible speech with a signal at its input as low as 0.25 μV. Radio receiver designers will test the product in a laboratory using a procedure, which is typically as follows:

With no signal present on the input, the noise and distortion of the receiver are measured at a convenient level. A signal is applied to the input such that the output increases by 12 dB. The level of the signal needed to produce this is noted. In this case, it was found to be 0.25 microvolts. According to the radio designer, intelligible speech can be detected 12 dB above the receiver's noise floor (noise and distortion). Regardless of the accuracy of this output power in regards to intelligible speech, having a standard output SINAD allows easy comparison between radio receiver input sensitivities. This 0.25 μV value is typical for VHF commercial radio, while 0.35 μV is probably more typical for UHF. In the real world, lower SINAD values (more noise) can still result in intelligible speech, but it is tiresome work to listen to a voice in that much noise.

SINADR Signal-to-noise and distortion ratio (SINADR) is a measurement of the purity of a signal. SINADR is typically used in data converter specifications. SINADR is defined as:

S I N A D R = P s i g n a l P q u a n t i z a t i o n E r r o r + P r a n d o m N o i s e + P d i s t o r t i o n {\displaystyle \mathrm {SINADR} ={\frac {P_{\mathrm {signal} }}{P_{\mathrm {quantizationError} }+P_{\mathrm {randomNoise} }+P_{\mathrm {distortion} }}}}

where P {\displaystyle P} is the average power of the signal, quantization error, random noise and distortion components. SINADR is usually expressed in dB. SINADR is a standard metric for analog-to-digital converter and digital-to-analog converter. SINADR (in dB) is related to effective number of bits (ENOB) by the following equation:

S I N A D R = E N O B ⋅ 6.02 + 1.76 {\displaystyle \mathrm {SINADR} =ENOB\cdot 6.02+1.76}

… excerpt ends here. Continue reading the full article.

Worked examples

Example 1 — a first encounter with SNDR

Start with the simplest possible case. Write down what SNDR 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 SNDR 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 SNDR 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 SNDR

In research
SNDR 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 SNDR 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
SNDR is common in secondary-school and first-year university syllabi. It links to neighbouring topics Error measures, Noise (electronics), so understanding it makes those chapters shorter.
In everyday life
Look for SNDR 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 SNDR in 20 minutes

  1. Read the reference excerpt below once, without taking notes.
  2. Close the page and write down what SNDR 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 SNDR out loud to somebody else — or to Teacher Smith in the lgStudy chat.

Frequently asked questions

What is SNDR in simple terms?

Signal-to-noise and distortion ratio (SNDR) is a term used for a set of measures of the quality of a signal from a communications device. These include SINAD and SINADR.

Why does SNDR 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 SNDR?

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 SNDR.

Tags

  • Error measures
  • Noise (electronics)

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