SNR

The signal to noise ratio (SNR) is a measure used in science and engineering that compares the level of a desired signal to the level of background noise. It is defined as the ratio of signal power to the noise power.

class SNR(snr, reference, channel=None)

Bases: NoiseLevel

Signal-to-noise ratio configuration.

Parameters:

• snr (float) – Expected signal-to-noise ratio.

• reference (Device |Transmitter | Receiver) – Reference of the noise level, i.e. with which power / energy was the signal generated.

• channel (Channel, optional) – Channel instance over which the signal was propagated. For channel models that consider propagation losses the noise power is scaled accordingly.

get_power()

Power of the noise level.

Returns: Power in Watt.

Return type:

float

property level: float

Linear signal power to noise power ratio.

Raises:

ValueError – If the ratio negative.

property reference: Device | Transmitter | Receiver

Reference to which the noise level is scaled.

Can be either a device, transmitter or receiver. If assigned to a device,

property snr: float

Linear signal power to noise power ratio.

Raises:

ValueError – If the ratio negative.

property title: str

Title of the scalar dimension.

Displayed in plots and tables during simulation runtime.