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id: channels_fading_model
label: Fading Model
parameters:
- id: N
label: Num Sinusoids (SoS model)
dtype: int
default: '8'
- id: fDTs
label: Normalized Max Doppler (fD*Ts)
dtype: real
default: 10.0/samp_rate
- id: LOS
label: LOS Model
dtype: enum
options: ['False', 'True']
option_labels: [Rayleigh/NLOS, Rician/LOS]
option_attributes:
hide_K: [all, '']
- id: K
label: Rician factor (K)
dtype: real
default: '4.0'
hide: ${ LOS.hide_K }
- id: seed
label: Seed
dtype: int
default: '0'
inputs:
- domain: stream
dtype: complex
outputs:
- domain: stream
dtype: complex
templates:
imports: from gnuradio import channels
make: channels.fading_model( ${N}, ${fDTs}, ${LOS}, ${K}, ${seed} )
callbacks:
- set_fDTs(${fDTs})
- set_K(${K})
documentation: |-
This algorithm implements the method described in
Compact Rayleigh and Rician fading simulator based on random walk processes
A. Alimohammad S.F. Fard B.F. Cockburn C. Schlegel
26th November 2008
int d_N=8; // number of sinusoids
float d_fDTs=0.01 // normalized maximum doppler frequency (f_doppler / f_samprate)
float d_K=4; // Rician factor (ratio of the specular power to the scattered power)
bool d_LOS=true; // LOS path exists? chooses Rician (LOS) vs Rayleigh (NLOS) model.
int seed=0; // noise seed
file_format: 1
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