commpy.channels.SISOFlatChannel¶

class SISOFlatChannel(noise_std=None, fading_param=(1, 0))¶

Constructs a SISO channel with a flat fading. The channel coefficient are normalized i.e. the mean magnitude is 1.

Parameters:	noise_std (float, optional) – Noise standard deviation. Default value is None and then the value must set later. fading_param (tuple of 2 floats, optional) – Parameters of the fading (see attribute for details). Default value is (1,0) i.e. no fading.

fading_param¶

Parameters of the fading. The complete tuple must be set each time. Raise ValueError when sets with value that would lead to a non-normalized channel.

fading_param[0] refers to the mean of the channel gain (Line Of Sight component).

fading_param[1] refers to the variance of the channel gain (Non Line Of Sight component).

Classical fadings:

(1, 0): no fading.

(0, 1): Rayleigh fading.

Others: rician fading.

Type:	tuple of 2 floats

noise_std¶

Noise standard deviation. None is the value has not been set yet.

Type:	float

isComplex¶

True if the channel is complex, False if not. The value is set together with fading_param based on the type of fading_param[0].

Type:	Boolean, Read-only

k_factor¶

Fading k-factor, the power ratio between LOS and NLOS.

Type:	positive float, Read-only

nb_tx¶

Number of Tx antennas.

Type:	int = 1, Read-only

nb_rx¶

Number of Rx antennas.

Type:	int = 1, Read-only

noises¶

Last noise generated. None if no noise has been generated yet.

Type:	1D ndarray

channel_gains¶

Last channels gains generated. None if no channels has been generated yet.

Type:	1D ndarray

unnoisy_output¶

Last transmitted message without noise. None if no message has been propagated yet.

Type:	1D ndarray

Raises:	`ValueError` – If the fading parameters would lead to a non-normalized channel. The condition is \(\|param[1]\| + \|param[0]\|^2 = 1\)

__init__(noise_std=None, fading_param=(1, 0))¶: x.__init__(…) initializes x; see help(type(x)) for signature

Methods

`__init__`([noise_std, fading_param])	x.__init__(…) initializes x; see help(type(x)) for signature
`generate_noises`(dims)	Generates the white gaussian noise with the right standard deviation and saves it.
`propagate`(msg)	Propagates a message through the channel.
`set_SNR_dB`(SNR_dB[, code_rate, Es])	Sets the the noise standard deviation based on SNR expressed in dB.
`set_SNR_lin`(SNR_lin[, code_rate, Es])	Sets the the noise standard deviation based on SNR expressed in its linear form.

Attributes

`fading_param`	Parameters of the fading (see class attribute for details).
`isComplex`	Read-only - True if the channel is complex, False if not.
`k_factor`	Read-only - Fading k-factor, the power ratio between LOS and NLOS
`nb_rx`	Read-only - Number of Rx antennas, set to 1 for SISO channel.
`nb_tx`	Read-only - Number of Tx antennas, set to 1 for SISO channel.