AWGN_Channel
Description Additive White Gaussian Noise Channel Library Numeric, Communications
Parameters





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




1

input

input signal

real

Pin Outputs




2

output

output signal

real

Notes/Equations/References
 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.
 AWGN_Channel can be represented as Y = X + G, where G is a zero mean Gaussian random variable with variance ^{2 }and X=x_{K}, k=0,1, ... q1. For a given X, it follows that Y is Gaussian with mean x_{K} and variance ^{2 }. That is,

 For any given input sequence, X_{i}, i1, 2 ... , n, there is a corresponding output sequence Y_{i }= X_{i} + G_{i}, i = 1, 2, ... n.
 Also see: NoiseChannel.
 For information regarding numeric communications component signals, refer to the Introduction.
References
[1] J. G. Proakis, Digital Communications, McGrawHill, 1989.
