Signal to Noise ratio dB levels

In summary, the author has 10 signals and calculated their power. He then used the SNR equation to figure out the dB levels of the noise. He is confused about what dB levels are being referred to and would appreciate clarification.
  • #1
rama1001
132
1
Hello,
I have some 10 signals in noisy and nonoise(noisy+good) situations. I just calculated the power of each signal in two cases and then used SNR formula for dB(10log noisy/nonoise).

Now, I got noise levels in dB's. Here, i confused that these dB levels are referred to sound dB levels or some other dB's. Because, My teacher told me after seeing the achieved values(20dB, 32dB, 14dB...upto 10 signal values) and he said it was full noisy.

I am pointing here that what is these dB values and is there any chart for good and bad noise dB values or any information about this is appriciated.
 
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  • #2
A few points.

DB measurements:

In general, dB measurements are ratios (and in the application you listed they always are). So if you have a dB measurement that was 10dB that means that you had one thing that was some amount greater than the other. For SNR you are measuring the ratio of two powers so you use the equation 20*log10(x/y) which means that if you had a 10dB difference, x was 10x greater than y or if you had 20dB difference then x was 100x greater than y etc. The 20 comes from the fact that your actual equation is 10*log10(x^2/y^2) where x and y are signal amplitudes but you can pull out the square using the properties of logarithms.

At other times dBs are used to give strength relative to something. For example dBm is commonly used for transmission powers and this is decibals relative to a milliWatt. So in this case you use 10*log10(x/1mW). The y term from above is always fixed and the number you get gives you an idea of scale of how much stronger or weaker the signal is relative to a mW.

On SNR:

As I explained above the typical SNR equation is 20*log10(signal power/noise power). From what you stated above I wasn't sure if you were clear on that. To estimate the noise power you either have to measure it, make assumptions about it, or try to extract it if you have clean signal and then signals with noise.

What is a good SNR to ratio? That depends on your system and the amount of noise you can tolerate. For digital systems you can use SNR to calculate your bit error rate (BER). Usually for a given system you establish what an acceptable BER is and then work backwards to what your SNR needs to be and that tells you what you need to do in that signal's transmission.

For analog signals you also have to consider the application in a somewhat similar manner.
 
Last edited:
  • #3
Sorry for the wrong information, I forgot that i used 20log(p1/p2). Thank you so much for such a good explanation.
 
  • #4
Shouldn't it be 10*log10(signal power/noise power) or 20*log10(signal voltage/noise voltage)?
 

1. What is a Signal to Noise ratio (SNR)?

The Signal to Noise ratio, also known as SNR, is a measure of how much stronger a signal is compared to background noise. It is usually expressed in decibels (dB) and is used to evaluate the quality of a signal in various applications.

2. How is the Signal to Noise ratio calculated?

The SNR is calculated by taking the ratio of the signal power to the noise power in a given system. It is usually expressed in logarithmic scale (dB) and can be calculated using the formula SNR = 10*log (signal power/noise power).

3. Why is a high SNR desirable?

A high SNR indicates that the signal is much stronger than the background noise, which means the signal can be easily distinguished and extracted from the noise. This is desirable in many applications, such as communication systems, where a strong and clear signal is necessary for accurate transmission and reception of information.

4. What affects the SNR in a system?

The SNR in a system can be affected by various factors, including the quality of the signal source, the sensitivity of the receiver, the distance between the source and the receiver, and any external interference or noise sources. Improving any of these factors can help increase the SNR in a system.

5. How can the SNR be improved?

To improve the SNR in a system, one can use methods such as signal filtering, amplification, or using noise-cancelling techniques. In communication systems, using high-quality equipment and reducing the distance between the source and the receiver can also improve the SNR. Additionally, minimizing external noise sources and using proper shielding can also help improve the SNR.

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