You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
@property
def types(self):
"""
[batch_size, max_num_paths], tf.int : Type of the paths:
- 0 : LoS
- 1 : Reflected
- 2 : Diffracted
- 3 : Scattered
- 4 : RIS
"""
return self._types
When using compute_path to calculate the results for multiple transceivers at once, the value of batch_size is 1, while the value of max_num_paths corresponds to the maximum number of multipaths across all transceiver pairs. This does not clearly represent the multipath categories for each individual transceiver pair. For example, at different receiver positions, the third multipath might be either a reflection or a scattering, but the value of the types property for the third multipath is only a single value. The types property lacks the index dimension for different transceivers.
The text was updated successfully, but these errors were encountered:
When using
compute_path
to calculate the results for multiple transceivers at once, the value ofbatch_size
is 1, while the value ofmax_num_paths
corresponds to the maximum number of multipaths across all transceiver pairs. This does not clearly represent the multipath categories for each individual transceiver pair. For example, at different receiver positions, the third multipath might be either a reflection or a scattering, but the value of thetypes
property for the third multipath is only a single value. Thetypes
property lacks the index dimension for different transceivers.The text was updated successfully, but these errors were encountered: