AWGN Model

Complex additive white Gaussian noise (AWGN) in its circular invariant form is the most common noise model used in communication systems. It is a zero mean, white noise process with an independent Gaussian distribution for both real and imaginary part. The noise is uncorrelated in time and frequency.

class AWGN(seed=None)

Bases: NoiseModel[AWGNRealization]

Additive White Gaussian Noise.

Parameters:

seed (int | None) – Random seed for initializating the pseud-random number generator.

classmethod Deserialize(process)

Deserialize an object’s state.

Objects cannot be deserialized directly, instead a Factory must be instructed to carry out the deserialization process.

Parameters:

process (DeserializationProcess) – The current stage of the deserialization process. This object is generated by the Factory and provides an interface to deserialization methods supporting multiple backends.

Return type:

AWGN

Returns:

The deserialized object.

realize(power)

Realize the noise model.

Parameters:

power (float) – Power of the added noise in Watt.

Return type:

AWGNRealization

Returns: Noise model realization.

serialize(process)

Serialize this object’s state.

Objects cannot be serialized directly, instead a Factory must be instructed to carry out the serialization process.

Parameters:

process (SerializationProcess) – The current stage of the serialization process. This object is generated by the Factory and provides an interface to serialization methods supporting multiple backends.

Return type:

None