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https://github.com/Telecominfraproject/oopt-gnpy.git
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57 lines
1.9 KiB
Python
57 lines
1.9 KiB
Python
#!/usr/bin/env python3
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# -*- coding: utf-8 -*-
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"""
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gnpy.core.info
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==============
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This module contains classes for modelling :class:`SpectralInformation`.
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"""
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from collections import namedtuple
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from gnpy.core.utils import automatic_nch, lin2db
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class Power(namedtuple('Power', 'signal nli ase')):
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"""carriers power in W"""
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class Channel(namedtuple('Channel', 'channel_number frequency baud_rate roll_off power chromatic_dispersion pmd')):
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""" Class containing the parameters of a WDM signal.
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:param channel_number: channel number in the WDM grid
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:param frequency: central frequency of the signal (Hz)
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:param baud_rate: the symbol rate of the signal (Baud)
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:param roll_off: the roll off of the signal. It is a pure number between 0 and 1
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:param power (gnpy.core.info.Power): power of signal, ASE noise and NLI (W)
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:param chromatic_dispersion: chromatic dispersion (s/m)
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:param pmd: polarization mode dispersion (s)
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"""
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class Pref(namedtuple('Pref', 'p_span0, p_spani, neq_ch ')):
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"""noiseless reference power in dBm:
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p_span0: inital target carrier power
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p_spani: carrier power after element i
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neq_ch: equivalent channel count in dB"""
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class SpectralInformation(namedtuple('SpectralInformation', 'pref carriers')):
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def __new__(cls, pref, carriers):
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return super().__new__(cls, pref, carriers)
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def create_input_spectral_information(f_min, f_max, roll_off, baud_rate, power, spacing):
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# pref in dB : convert power lin into power in dB
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pref = lin2db(power * 1e3)
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nb_channel = automatic_nch(f_min, f_max, spacing)
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si = SpectralInformation(
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pref=Pref(pref, pref, lin2db(nb_channel)),
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carriers=[
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Channel(f, (f_min + spacing * f),
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baud_rate, roll_off, Power(power, 0, 0), 0, 0) for f in range(1, nb_channel + 1)
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]
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)
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return si
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