Numeric Components >Chapter 2: Numeric Communications Components
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AWGN_Channel

    
Description    Additive White Gaussian Noise Channel
Library    Numeric, Communications
Parameters
Name
Description
Default
Type
Range
FwdTaps
forward FIR filter tap to model linear distortion
1
real array

FdbkTaps
feedback FIR filter tap to model linear distortion
0
real array

NoisePwr
variance of the additive white Gaussian noise
0.5
real
[0.0, )
Pin Inputs
Pin
Name
Description
Signal Type
1
input
input signal
real
Pin Outputs
Pin
Name
Description
Signal Type
2
output
output signal
real

Notes/Equations/References
  1. AWGN_Channel simulates a channel with white Gaussian noise and optional linear distortion. To simulate linear distortion, the input signal is filtered through an FIR filter and fed back through a second FIR filter. White Gaussian noise with zero mean and variance NoisePwr is then added to the signal. The default values of FwdTaps and FdbkTaps cause the signal to be passed through without distortion.

  2. AWGN_Channel can be represented as Y = X + G, where G is a zero mean Gaussian random variable with variance 2 and X=xK, k=0,1, ... q-1. For a given X, it follows that Y is Gaussian with mean xK and variance . That is,

For any given input sequence, Xi, i-1, 2 ... , n, there is a corresponding output sequence Yi = Xi + Gi, i = 1, 2, ... n.

  1. Also see: NoiseChannel.

  2. For information regarding numeric communications component signals, refer to the Introduction.

References

[1] J. G. Proakis, Digital Communications, McGraw-Hill, 1989.


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