torchsig.transforms.functional.shadowing

torchsig.transforms.functional.shadowing(data: ~numpy.ndarray, mean_db: float = 4.0, sigma_db: float = 2.0, rng: ~numpy.random._generator.Generator = Generator(PCG64) at 0x7694D3FA5C40) → ndarray[source]

Applies RF shadowing to the data, assuming the channel obstructions’ loss are lognormal. Refer to T.S. Rappaport, Wireless Communications, Prentice Hall, 2002.

Parameters:

  • data (np.ndarray) – Complex valued IQ data samples.

  • mu_db (float) – Mean value of shadowing in dB. Default 4.0.

  • sigma_db (float) – Shadowing standard deviation. Default 2.0.

  • rng (np.random.Generator, optional) – Random number generator. Defaults to np.random.default_rng(seed=None).

Returns:

Data with shadowing.

Return type:

np.ndarray