White noise in communication channel

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Discussion Overview

The discussion revolves around the use of additive white Gaussian noise (AWGN) in modeling communication channels. Participants explore the implications of using white noise, its characteristics, and its relevance in the context of data communications.

Discussion Character

  • Exploratory
  • Technical explanation
  • Debate/contested

Main Points Raised

  • John questions the rationale behind using white noise in communication models, particularly its constant power spectral density and its zero mean.
  • Another participant suggests that noise is proportional to resistance, temperature, and bandwidth, and mentions the use of balanced circuits to achieve a zero DC component.
  • One participant explains that thermal receiver noise is considered white and that other random noise sources can be described by Gaussian statistics, which leads to a zero mean in high-frequency systems.
  • There is a discussion about representing different types of noise, with one participant noting that white noise represents thermal noise and random amplitudes represent bursts of noise.
  • A later reply mentions that while noise power spectral density can vary over large spans, it remains relatively constant over narrow channels, providing an example from Verizon's CDMA protocol.

Areas of Agreement / Disagreement

Participants express various viewpoints on the characteristics and implications of white noise in communication channels, with no consensus reached on the specific benefits or reasons for its use.

Contextual Notes

Participants discuss the characteristics of noise in communication systems, including the implications of power spectral density and the relevance of DC components, without resolving the complexities involved.

Who May Find This Useful

This discussion may be of interest to individuals studying data communications, signal processing, or those involved in the design and analysis of communication systems.

LM741
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hi all - its been very long - hope everyone is well!

just a data comms related question:

When modelling a communication channel we normally include AWGN, that is, Additive white gaussian noise.

Can anybody tell me why we use white noise in the model. I know it has a constant power spectral density for all frequencies - but how does this help us or make things better?
Also, apperently the DC component( mean) of the noise signal is zero - is this because we use the Gaussian distribution? i.e. how to we get it to equal zero?

thanks very much

John
 
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sqrt(4kTBR)=Vn

short answer: the noise is proportional to resistance, temp and bandwidth. you can get it equal by using a balanced circuit where these variables are the same and have common mode rejection reduce it to dc.













is my guess :-p
 
Hello 741!

1) Thermal receiver noise is white, as mentioned above, and counts as part of the channel. Other noise, including that from motors, transmitters, lightning, etc. is random as well so, on average, at any time position and frequency, it's described well by Gaussian statistics.
2) DC is irrelevant to a high frequency communications system and isn't even picked up by the antenna or electronics. (Same is true of ethernet and other cabled digital channels.) Hence zero mean.


BTW, Did you figure out the sampled data/DFT stuff?
 
sup marcusl! thanks
ha ha - man can't believe you remember that stuff! yeah finaaly grabbed it by the horns and grasped it! actually ended up failing Signals and Systems 2 end of year - but there is a happy ending to the story - coz i qualified for a supp in January and passed - so thanks for all your help!
thanks ligh_bulb
so marcus - you telling me that the white noise is used to represent thermal noise and random amplidutes ( created by Gaussina) are used to repreent random bursts of noise - so in essence, we are represnting two types of noise? but what is so special about a CONSTANT power spectral density? thanks
 
Good, glad it worked out!

Over large spans the noise power spectral density (PSD) can vary--it's different at 1MHz and 10GHz--but over any typical narrow channel it just doesn't vary much. For example, Verizon cell phones operate on a protocol called CDMA, occupying a 1.5 MHz channel located within one of Verizon's 5 MHz wide frequency allocations. Center frequency is 1.9GHz. Over this narrow channel a constant average PSD is a good approximation.
 
thanks
....
 

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