Quadriga¶
![Inheritance diagram of hermespy.channel.quadriga.quadriga.QuadrigaChannel, hermespy.channel.quadriga.quadriga.QuadrigaChannelRealization, hermespy.channel.quadriga.quadriga.QuadrigaChannelSample](../../_images/inheritance-3b64424c506cb0a5836d73ab18b7c0ad9978ee49.png)
The QUAsi Determinstic RadIo channel GenerAtor (QuaDRiGa) channel model is a Matlab based tool for generating radio channel impulse responses in multi-node networks of radio devices [1][2]. It is integrated into Hermes as a channel model plugin, with the generation of new channel realizations triggering an execution of Quadriga’s Matlab scripts via either the Matlab Python API or Octave. Please refer to the Installation hints for the required setup.
- class QuadrigaChannel(*args, interface=None, **kwargs)[source]¶
Bases:
Channel
[QuadrigaChannelRealization
,QuadrigaChannelSample
]Quadriga Channel Model.
Maps the output of the
QuadrigaInterface
to fit into Hermes’ software architecture.- Parameters:
interface (QuadrigaInterface, optional) – Specifies the consisdered Quadriga interface.
- recall_realization(group)[source]¶
Recall a realization of this channel type from its HDF serialization.
- Parameters:
group (h5py.Group) – HDF group to which the channel realization was serialized.
- Return type:
Returns: The recalled realization instance.
- class QuadrigaChannelRealization(interface, sample_hooks, gain)[source]¶
Bases:
ChannelRealization
[QuadrigaChannelSample
]Realization of a quadriga channel model.
- Parameters:
quadriga_interface (QuadrigaInterface) – Interface to the Quadriga channel model.
sample_hooks (Set[ChannelSampleHook[QuadrigaChannelSample]]) – Hooks to be called when a new sample is generated.
gain (float) – Linear channel power gain factor.
- class QuadrigaChannelSample(path_gains, path_delays, gain, state)[source]¶
Bases:
ChannelSample
Sample of a quadriga channel model.
- Parameters:
path_gains (np.ndarray) – Path gains.
path_delays (np.ndarray) – Path delays.
gain (float) – Channel gain.
state (ChannelState) – Channel state at which the sample was generated.
- state(num_samples, max_num_taps, interpolation_mode=InterpolationMode.NEAREST)[source]¶
Generate the discrete channel state information from this channel realization.
Denoted by
\[\mathbf{H}^{(m, \tau)} \in \mathbb{C}^{N_{\mathrm{Rx}} \times N_{\mathrm{Tx}}}\]within the respective equations.
- Parameters:
num_samples (int) – Number of discrete time-domain samples of the chanel state information.
max_num_taps (int) – Maximum number of delay taps considered per discrete time-domain sample.
interpolation_mode (InterpolationMode, optional) – Interpolation behaviour of the channel realization’s delay components with respect to the proagated signal’s sampling rate. If not specified, an integer rounding to the nearest sampling instance will be assumed.
- Return type:
Returns: The channel state information representing this channel realization.