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Pseudorandom binary sequence

Pseudorandom binary sequence 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 Pseudorandom binary sequence rather than just read about it. In short: A pseudorandom binary sequence (PRBS), pseudorandom binary code or pseudorandom bitstream is a binary sequence that, while generated with a deterministic algorithm, is difficult to predict and exhibits statistical behavior similar to a truly random sequence. PRBS generators are used in telecommunication, such as in analog-to-information conversion, but also in encryption, simulation, correlation technique and time-o…

Key takeaways

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

Reference excerpt

A pseudorandom binary sequence (PRBS), pseudorandom binary code or pseudorandom bitstream is a binary sequence that, while generated with a deterministic algorithm, is difficult to predict and exhibits statistical behavior similar to a truly random sequence. PRBS generators are used in telecommunication, such as in analog-to-information conversion, but also in encryption, simulation, correlation technique and time-of-flight spectroscopy. The most common example is the maximum length sequence generated by a (maximal) linear feedback shift register (LFSR). Other examples are Gold sequences (used in CDMA and GPS), Kasami sequences and JPL sequences, all based on LFSRs. In telecommunications, pseudorandom binary sequences are known as pseudorandom noise codes (PN or PRN codes) due to their application as pseudorandom noise.

Details A binary sequence (BS) is a sequence a 0 , … , a N − 1 {\displaystyle a_{0},\ldots ,a_{N-1}} of N {\displaystyle N} bits, i.e.

a j ∈ { 0 , 1 } {\displaystyle a_{j}\in \{0,1\}} for j = 0 , 1 , . . . , N − 1 {\displaystyle j=0,1,...,N-1} . A BS consists of m = ∑ a j {\displaystyle m=\sum a_{j}} ones and N − m {\displaystyle N-m} zeros. A BS is a pseudorandom binary sequence (PRBS) if its autocorrelation function, given by

C ( v ) = ∑ j = 0 N − 1 a j a j + v {\displaystyle C(v)=\sum _{j=0}^{N-1}a_{j}a_{j+v}}

has only two values:

C ( v ) = { m , if v ≡ 0 ( mod N ) m c , otherwise {\displaystyle C(v)={\begin{cases}m,{\mbox{ if }}v\equiv 0\;\;({\mbox{mod}}N)\\\\mc,{\mbox{ otherwise }}\end{cases}}}

where

c = m − 1 N − 1 {\displaystyle c={\frac {m-1}{N-1}}}

is called the duty cycle of the PRBS, similar to the duty cycle of a continuous time signal. For a maximum length sequence, where N = 2 k − 1 {\displaystyle N=2^{k}-1} , the duty cycle is 1/2. A PRBS is 'pseudorandom', because, although it is in fact deterministic, it seems to be random in a sense that the value of an a j {\displaystyle a_{j}} element is independent of the values of any of the other elements, similar to real random sequences. A PRBS can be stretched to infinity by repeating it after N {\displaystyle N} elements, but it will then be cyclical and thus non-random. In contrast, truly random sequence sources, such as sequences generated by radioactive decay or by white noise, are infinite (no pre-determined end or cycle-period). However, as a result of this predictability, PRBS signals can be used as reproducible patterns (for example, signals used in testing telecommunications signal paths).

Practical implementation Pseudorandom binary sequences can be generated using linear-feedback shift registers. Some common sequence generating monic polynomials are

PRBS7 = x 7 + x 6 + 1 {\displaystyle x^{7}+x^{6}+1}

PRBS9 = x 9 + x 5 + 1 {\displaystyle x^{9}+x^{5}+1}

PRBS11 = x 11 + x 9 + 1 {\displaystyle x^{11}+x^{9}+1}

PRBS13 = x 13 + x 12 + x 2 + x + 1 {\displaystyle x^{13}+x^{12}+x^{2}+x+1}

PRBS15 = x 15 + x 14 + 1 {\displaystyle x^{15}+x^{14}+1}

… excerpt ends here. Continue reading the full article.

Worked examples

Example 1 — a first encounter with Pseudorandom binary sequence

Start with the simplest possible case. Write down what Pseudorandom binary sequence 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 Pseudorandom binary sequence 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 Pseudorandom binary sequence 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 Pseudorandom binary sequence

In research
Pseudorandom binary sequence 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 Pseudorandom binary sequence 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
Pseudorandom binary sequence is common in secondary-school and first-year university syllabi. It links to neighbouring topics Binary sequences, Pseudorandomness, so understanding it makes those chapters shorter.
In everyday life
Look for Pseudorandom binary sequence 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 Pseudorandom binary sequence in 20 minutes

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

Frequently asked questions

What is Pseudorandom binary sequence in simple terms?

A pseudorandom binary sequence (PRBS), pseudorandom binary code or pseudorandom bitstream is a binary sequence that, while generated with a deterministic algorithm, is difficult to predict and exhibits statistical behavior similar to a truly random sequence. PRBS generators are used in telecommunic…

Why does Pseudorandom binary sequence 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 Pseudorandom binary sequence?

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 Pseudorandom binary sequence.

Tags

  • Binary sequences
  • Pseudorandomness

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