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Image response

Image response 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 Image response rather than just read about it. In short: Image response (or more correctly, image response rejection ratio, or IMRR) is a measure of performance of a radio receiver that operates on the superheterodyne principle. In such a radio receiver, a local oscillator (LO) is used to heterodyne or "beat" against the incoming radio frequency (RF), generating sum and difference frequencies.

Image response — main illustration
Image response — illustration

Key takeaways

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

Reference excerpt

Image response (or more correctly, image response rejection ratio, or IMRR) is a measure of performance of a radio receiver that operates on the superheterodyne principle. In such a radio receiver, a local oscillator (LO) is used to heterodyne or "beat" against the incoming radio frequency (RF), generating sum and difference frequencies. One of these will be at the intermediate frequency (IF), and will be selected and amplified. The radio receiver is responsive to any signal at its designed IF frequency, including unwanted signals. For example, with a LO tuned to 110 MHz, there are two incoming signal frequencies that can generate a 10 MHz IF frequency. A signal broadcast at 100 MHz (the wanted signal), and mixed with the 110 MHz LO will create the sum frequency of 210 MHz (ignored by the receiver), and the difference frequency at the desired 10 MHz. However, a signal broadcast at 120 MHz (the unwanted signal), and mixed with the 110 MHz LO will create a sum frequency of 230 MHz (ignored by the receiver), and the difference frequency also at 10 MHz. The signal at 120 MHz is called the image of the wanted signal at 100 MHz. The ability of the receiver to reject this image gives the image rejection ratio (IMRR) of the system.

Image rejection ratio The image rejection ratio, or image frequency rejection ratio, is the ratio of the intermediate-frequency (IF) signal level produced by the desired input frequency to that produced by the image frequency. The image rejection ratio is usually expressed in dB. When the image rejection ratio is measured, the input signal levels of the desired and image frequencies must be equal for the measurement to be meaningful. IMRR is measured in dB, giving the ratio of the wanted to the unwanted signal to yield the same output from the receiver. In a good design, ratios of >60 dB are achievable. Note that IMRR is not a measurement of the performance of the IF stages or IF filtering (selectivity); the signal yields a perfectly valid IF frequency. Rather, it is the measure of the bandpass characteristics of the stages preceding the IF amplifier, which will consist of RF bandpass filters and usually an RF amplifier stage or two.

Image rejection formulas The Image Frequency Rejection Ratio (IRR) is characterized by its RF filter which can be determined on the basis of its relative response of a parallel tuned circuit.

I R R = 1 + ρ 2 Q 2 {\displaystyle IRR={\sqrt {1+\rho ^{2}Q^{2}}}}

where,

ρ = f I M A G E f R F − f R F f I M A G E {\displaystyle \rho ={\frac {f_{IMAGE}}{f_{RF}}}-{\frac {f_{RF}}{f_{IMAGE}}}} and Q is the quality factor. The Image Rejection Ratio for a given value of gain imbalance γ , ( ϵ = γ − 1 ) {\displaystyle \gamma ,(\epsilon =\gamma -1)} and phase imbalance ϕ {\displaystyle \phi } is determined by,

I M R R = γ 2 + 1 − 2 γ c o s ( ϕ ) γ 2 + 1 + 2 γ c o s ( ϕ ) ≈ ϵ 2 + ϕ 2 4 {\displaystyle IMRR={\frac {\gamma ^{2}+1-2\gamma cos(\phi )}{\gamma ^{2}+1+2\gamma cos(\phi )}}\approx {\frac {\epsilon ^{2}+\phi ^{2}}{4}}}

See also Image frequency

References

This article incorporates public domain material from Federal Standard 1037C. General Services Administration. Archived from the original on 2022-01-22. (in support of MIL-STD-188).

Illustrations

Image response: Graphs illustrating the problem of image response in a superheterodyne. The horizontal axes are frequency and the vertical axes are voltage.  Without an adequate RF filter, any radio signal S2 (green) from the antenna at the image frequency 
  
    
      
        
          f
          
            IMAGE
          
        
      
    
    {\displaystyle f_{\text{IMAGE}}}
  
 is also heterodyned to the IF frequency 
  
    
      
        
          f
          
            IF
          
        
      
    
    {\displaystyle f_{\text{IF}}}
  
 along with the desired radio signal S1  (blue) at 
  
    
      
        
          f
          
            RF
          
        
      
    
    {\displaystyle f_{\text{RF}}}
  
, so they both pass through the IF filter (red).  Thus S2 interferes with S1.
Graphs illustrating the problem of image response in a superheterodyne. The horizontal axes are frequency and the vertical axes are voltage. Without an adequate RF filter, any radio signal S2 (green) from the antenna at the image frequency f IMAGE {\displaystyle f_{\text{IMAGE}}} is also heterodyned to the IF frequency f IF {\displaystyle f_{\text{IF}}} along with the desired radio signal S1 (blue) at f RF {\displaystyle f_{\text{RF}}} , so they both pass through the IF filter (red). Thus S2 interferes with S1.

Worked examples

Example 1 — a first encounter with Image response

Start with the simplest possible case. Write down what Image response 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 Image response 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 Image response 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 Image response

In research
Image response 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 Image response 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
Image response is common in secondary-school and first-year university syllabi. It links to neighbouring topics Frequency mixers, Radio electronics, so understanding it makes those chapters shorter.
In everyday life
Look for Image response 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 Image response in 20 minutes

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

Frequently asked questions

What is Image response in simple terms?

Image response (or more correctly, image response rejection ratio, or IMRR) is a measure of performance of a radio receiver that operates on the superheterodyne principle. In such a radio receiver, a local oscillator (LO) is used to heterodyne or "beat" against the incoming radio frequency (RF), ge…

Why does Image response 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 Image response?

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 Image response.

Tags

  • Frequency mixers
  • Radio electronics

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