AFPchannel

class pylayers.antprop.channel.AFPchannel(x=array([], dtype=float64), y=array([], dtype=float64), tx=array([], dtype=float64), rx=array([], dtype=float64), az=array([], dtype=float64), label='', _filename='', refinement=False, ang_offset=0)

Bases: pylayers.signal.bsignal.FUsignal

Angular Frequency Profile channel

xnp.array

frequency ,Nf

ynp.array

Amplitude Na,Nf

txnp.array

tx coordinate (,3)

rxnp.array

rx coordinates (,3)

aznp.array (,Na)

AFP azimutal range in radians

theta : link elevation angle phi : link (txrx) azimuth angle (with offset) tau : link delay (ns)

offsetfloat angle in radians

azimuth offset w.r.t global frame

norm2 construct electrical_delay loadmes toadp estimate peak specular_model

Methods Summary

construct(tx)
electrical_delay([tauns])	electrical delay
estimate([taumax, phimax])	estimate specular model parameters
loadmes(_filename, _filecal[, fcGHz, BW, …])	Load measurement file
norm2()
peak()
specular_model(x, fGHz, phi[, wH, HPBW, GmaxdB])	Creates an AFP from a discrete specular model
toadp([imax])	convert afp into adp (frequency->delay)

Methods Documentation

construct(tx)

electrical_delay(tauns=0)

electrical delay

tauns : float

estimate(taumax=200, phimax=6.283185307179586)

estimate specular model parameters

taumax : float phimax : float

specular_model

loadmes(_filename, _filecal, fcGHz=32.6, BW=1.6, win='rect', ang_offset=0.37, ext='txt', dirmeas='meas/Espoo', refinement=False)

Load measurement file

Measurement files and the associated back to back calibration files are placed in the mes directory of the project.

_filenamestring

data matfile name

_filecalstring

calibration matfile name

fcGHzfloat

center frequency

BWfloat

measurement bandwidth

winstring

window type in [‘rect’,’hamming’,’blackman’]

ang_offsetfloat

angle in radian

extstring

file extension ‘txt’ | ‘.mat’

diremeas : string

This function updates : + self.x (frequency GHz) + self.y + self.az azimuth radians

The calibration file _filecal (.mat file) should be added in the data directory In practice for Espoo B2B.mat

pylayers.util.pyutil.getlong

norm2()

peak()

specular_model(x, fGHz, phi, wH=[], HPBW=0.17453292519943295, GmaxdB=21)

Creates an AFP from a discrete specular model

x : [a0,a1,..,aK,tau0,tau1,…,tauk,phi0,…,phiK] fGHz : phi : wH : windowing on frequency axis HPBW : Half Power Beamwidth

>>> import numpy as np
>>> rs = np.random.seed(1)
>>> E = st.expon(0.5)
>>> K = 5
>>> tauk = 250*np.random.rand(K)
>>> alphak = E.rvs(K)
>>> phik  = 2*np.pi*np.random.rand(K)
>>> xk   = np.hstack((alphak,tauk,phik))
>>> A = AFPchannel()
>>> fGHz = np.linspace(27,29,2001)
>>> wH = np.ones(len(fGHz))
>>> phi = np.linspace(0,2*np.pi,73)
>>> A.specular_model(xk,fGHz,phi,wH)

toadp(imax=-1)

convert afp into adp (frequency->delay)

tx and rx need to be defined