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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, none]
- 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
unsigned 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.
uint32_t seed=0; // noise seed
file_format: 1
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