Signal-Noise Ratio: Decibels & Resolving Signals

In summary, the conversation is discussing the concept of signal to noise ratio, specifically in terms of decibels. The individual is concerned about their SNR of 20dB and its ability to resolve signals. The application being discussed is an integrated circuit that reads magnetic fields and calculates the noise generated by the device. It is noted that an SNR of 20dB is considered excellent and that it is rare to work with such a high ratio. The lowest detectable signal is typically when the SNR is 0dB, but there are methods, such as those used in GPS receivers, that can observe signals with less than 0dB.
  • #1
dmorris619
42
0
I am trying to get an understanding of what a good signal to noise ratio in terms of decibels. My SNR is roughly 20 dB, and am concerned about being able to resolve the signal from this.
 
Last edited:
Engineering news on Phys.org
  • #2
You need to provide a context--what is your system, application, apparatus, etc.--to get a useful answer. In general, however, 20 dB (a 100:1 ratio of signal power to noise power) could be considered excellent, even luxurious. (Consider that GPS receivers operate on a signal that is below the thermal noise floor).
 
  • #3
Its for an integrated circuit that reads the magnetic field. I am calculating the noise generated by the device which is essentially white noise.
 
  • #4
Information can very easily be resolved from a signal with SNR of 20dB and rarely does one have such luck to work with such signals.

The lowest detectable signal is often said to be when the signal power is equal to the noise power or the SNR is 0dB. There are of course methods of observing a signal will less than 0dB such as those used in GPS receivers like mentioned above.
 

What is Signal-Noise Ratio (SNR)?

Signal-Noise Ratio (SNR) is a measure of how much stronger a signal is than the background noise in a system. It is typically measured in decibels (dB) and is used to evaluate the quality of a signal.

How is SNR calculated?

SNR is calculated by dividing the power of a signal by the power of the noise in a system. The resulting value is then converted to decibels using the formula SNR(dB) = 10log10(SNR).

Why is SNR important?

SNR is important because it can affect the accuracy and reliability of a signal. A high SNR indicates a strong signal that is not easily corrupted by noise, while a low SNR can result in errors or a poor quality signal.

What is the relationship between SNR and decibels?

SNR and decibels (dB) are directly related, with a higher SNR resulting in a larger dB value. For example, an SNR of 20 dB means the signal is 100 times stronger than the noise, while an SNR of 40 dB means the signal is 10,000 times stronger.

How is SNR used in signal processing?

In signal processing, SNR is used to determine the minimum detectable signal and the maximum allowable noise for a particular system. It is also used to compare the performance of different systems and to optimize the signal-to-noise ratio for improved signal quality.

Similar threads

Replies
3
Views
1K
  • Electrical Engineering
Replies
13
Views
2K
  • Electrical Engineering
Replies
4
Views
74
Replies
9
Views
2K
  • Electrical Engineering
Replies
4
Views
819
  • Classical Physics
Replies
8
Views
805
  • Electrical Engineering
Replies
13
Views
1K
  • Electrical Engineering
Replies
1
Views
1K
  • Electrical Engineering
2
Replies
37
Views
3K
Replies
9
Views
1K
Back
Top