Source code for skrf.media.mline

"""
MLine (:mod:`skrf.media.MLine`)
========================================

.. autosummary::
   :toctree: generated/

   MLine

"""
from __future__ import annotations

import warnings
from typing import TYPE_CHECKING

import numpy as npy
from numpy import arctan, cosh, exp, imag, log, log10, ones, real, sqrt, tanh, zeros
from scipy.constants import c, epsilon_0, mu_0, pi

from ..constants import NumberLike
from ..tlineFunctions import skin_depth, surface_resistivity
from .media import Media

if TYPE_CHECKING:
    from ..frequency import Frequency


[docs] class MLine(Media): r""" A microstripline transmission line defined in terms of width, thickness and height on a given relative permittivity substrate. The line has a conductor resistivity and a tangential loss factor. This class is highly inspired from the technical documentation [#]_ and sources provided by the qucs project [#]_ . In addition, Djordjevic [#]_ /Svensson [#]_ wideband debye dielectric model is considered to provide more realistic modelling of broadband microstrip with as causal time domain response. A compatibility mode is provided to mimic the behaviour of QUCS or of Keysight ADS. There is known differences in the output of these simulators. The quasi-static models of chercteristic impedance and effective permittivity give the value at zero frequency. The dispersion models compute a frequency-dependant values of these variables. * Quasi-static characteristic impedance and effective permittivity models: + Hammerstad and Jensen (default) + Schneider + Wheeler * Frequency dispersion of impedance and effective permittivity models: + Hammerstad and Jensen + Kirschning and Jansen (default) + Kobayashi + Schneider + Yamashita + (No dispersion) * Strip thickness correction model: + all quasi-static models add a certain amount to W to accound for non-zero thickness of the strip. Computation with zero thickness is possible. Parameters ---------- frequency : :class:`~skrf.frequency.Frequency` object frequency band of the media z0_port : number, array-like, or None `z0_port` is the port impedance for networks generated by the media. If `z0_port` is not None, the networks generated by the media are renormalized (or in other words embedded) from the characteristic impedance z0 of the media to `z0_port`. Else if `z0_port` is None, the networks port impedances will be the raw characteristic impedance z0 of the media. (Default is None) z0_override : number, array-like, or None `z0_override` override the characteristic impedance for the media. If `z0_override` is not None, the networks generated by the media have their characteristic impedance `z0` overrided by `z0_override`. (Default is None) z0 : number, array-like, or None deprecated parameter, alias to `z0_override` if `z0_override` is None. Emmit a deprecation warning. w : number, or array-like width of conductor, in m h : number, or array-like height of substrate between ground plane and conductor, in m t : number, or array-like or None, optional conductor thickness, in m. Default is None (no width correction to account strip thickness). ep_r : number, or array-like relative permittivity of dielectric at frequency f_epr_tand, no unit mu_r : number, array-like relative permeability mof dielectric, no unit model : str microstripline quasi-static impedance and dielectric model in: * 'hammerstadjensen' (default) * 'schneider' * 'wheeler' disp : str microstripline impedance and dielectric frequency dispersion model in: * 'hammerstadjensen' * 'kirschningjansen' (default) * 'kobayashi' * 'schneider' * 'yamashita' * 'none' diel : str dielectric frequency dispersion model in: * 'djordjevicsvensson' (default) * 'frequencyinvariant' rho: number, or array-like, optional resistivity of conductor, ohm / m tand : number, or array-like dielectric loss factor at frequency f_epr_tand rough : number, or array-like RMS roughness of conductor in m f_low : number, or array-like lower frequency for wideband Debye Djordjevic/Svensson dielectric model, in Hz f_high : number, or array-like higher frequency for wideband Debye Djordjevic/Svensson dielectric model, in Hz f_epr_tand : number, or array-like measurement frequency for ep_r and tand of dielectric, in Hz compatibility_mode: str or None (default) If set to 'qucs', following behavious happens : * Characteristic impedance will be real (no imaginary part due to tand) * Quasi-static relative permittivity and impedance will by used for loss computation instead of frequency-dispersed values * Kobayashi and Yamashita models will disperse permittivity but keep quasi-static impedance values \*args, \*\*kwargs : arguments, keyword arguments passed to :class:`~skrf.media.media.Media`'s constructor (:func:`~skrf.media.media.Media.__init__` Note ---- In the case dispersion model only include effective permittivity, no dispersion is used for impedance in QUCS mode and Kirschning Jansen is used in ADS mode. QUCS mode is the default. When the thickness of the strip is smaller than 3 skin depth, the losses model gives over-optimistic results and the media will issue a warning. At DC, the losses of the line could be smaller than its conductor resistance, which is not physical. References ---------- .. [#] http://qucs.sourceforge.net/docs/technical.pdf .. [#] https://github.com/Qucs/qucsator/blob/develop/src/components/microstrip/msline.cpp .. [#] E. Hammerstad and Ø. Jensen, "Accurate Models for Microstrip Computer-Aided Design", Symposium on Microwave Theory and Techniques, pp. 407-409, June 1980. .. [#] M. Kirschning and R. H. Jansen, "Accurate Model for Effective Dielectric Constant of Microstrip with Validity up to Millimeter-Wave Frequencies", Electronics Letters, vol. 8, no. 6, pp. 272-273, Mar. 1982. .. [#] R. H. Jansen and M. Kirschning, "Arguments and an accurate Model for the Power-Current Formulation of Microstrip Characteristic Impedance", Archiv für Elektronik und Übertragungstechnik (AEÜ), vol. 37, pp. 108-112, 1983. .. [#] M. Kobayashi, "A Dispersion Formula Satisfying Recent Requirements in Microstrip CAD", IEEE Trans. on Microwave Theory and Techniques, vol. 36, no. 8, pp. 1246-1250, Aug. 1988. .. [#] M. V. Schneider, "Microstrip Lines for Microwave Integrated Circuits", The Bell System Technical Journal, vol. 48, pp. 1421-1444, May 1969. .. [#] M. V. Schneider, "Microstrip Dispersion", Proceedings of the IEEE, Letters, vol. 60, Jan. 1972, pp. 144-146. .. [#] H. A. Wheeler, "Transmission-Line Properties of a Strip on a Dielectric Sheet on a Plane, IEEE Trans. on Microwave Theory and Techniques, vol. 25, no. 8, pp. 631-647, Aug. 1977. .. [#] H. A. Wheeler, "Formulas for the Skin Effect," Proceedings of the IRE, vol. 30, no. 9, pp. 412-424, Sept. 1942. .. [#] E. Yamashita, K. Atsuki, and T. Ueda, "An Approximate Dispersion Formula of Microstrip Lines for Computer Aided Design of Microwave Integrated Circuits", IEEE Trans. on Microwave Theory and Techniques, vol. 27, pp. 1036-1038, Dec. 1979. .. [#] C. Svensson, G.E. Dermer, Time domain modeling of lossy interconnects, IEEE Trans. on Advanced Packaging, May 2001, N2, Vol. 24, pp.191-196. .. [#] Djordjevic, R.M. Biljic, V.D. Likar-Smiljanic, T.K. Sarkar, Wideband frequency-domain characterization of FR-4 and time-domain causality, IEEE Trans. on EMC, vol. 43, N4, 2001, p. 662-667. """
[docs] def __init__(self, frequency: Frequency | None = None, z0_port: NumberLike | None = None, z0_override: NumberLike | None = None, z0: NumberLike | None = None, w: NumberLike = 3, h: NumberLike = 1.6, t: NumberLike | None = None, ep_r: NumberLike = 4.5, mu_r: NumberLike = 1.0, model: str = 'hammerstadjensen', disp: str = 'kirschningjansen', diel: str = 'djordjevicsvensson', rho: NumberLike = 1.68e-8, tand: NumberLike = 0, rough: NumberLike = 0.15e-6, f_low: NumberLike = 1e3, f_high: NumberLike = 1e12, f_epr_tand: NumberLike = 1e9, compatibility_mode: str | None = None, *args, **kwargs): Media.__init__(self, frequency = frequency, z0_port = z0_port, z0_override = z0_override, z0 = z0) self.w, self.h, self.t = w, h, t self.ep_r, self.mu_r = ep_r, mu_r self.model, self.disp, self.diel = model, disp, diel self.rho, self.tand, self.rough, self.disp = rho, tand, rough, disp self.f_low, self.f_high, self.f_epr_tand = f_low, f_high, f_epr_tand self.compatibility_mode = compatibility_mode # variation ofeffective permittivity with frequency # Not implemented on QUCS but implemented on ADS. # 'frequencyinvariant' will give a constant complex value whith a real # part compatible with qucs and an imaginary part due to tand self.ep_r_f, self.tand_f = self.analyse_dielectric( self.ep_r, self.tand, self.f_low, self.f_high, self.f_epr_tand, self.frequency.f, self.diel) # quasi-static effective permittivity of substrate + line and # the impedance of the microstrip line # qucs use real-valued ep_r giving real-valued impedance if compatibility_mode == 'qucs': self.zl_eff, self.ep_reff, self.w_eff = self.analyse_quasi_static( real(self.ep_r_f), self.w, self.h, self.t, self.model) # ads use complex permittivity giving complex impedance and # effective permittivity else: self.zl_eff, self.ep_reff, self.w_eff = self.analyse_quasi_static( self.ep_r_f, self.w, self.h, self.t, self.model) # analyse dispersion of impedance and relatice permittivity # qucs use w here, but w_eff seems better if compatibility_mode == 'qucs': self._z_characteristic, self.ep_reff_f = self.analyse_dispersion( self.zl_eff, self.ep_reff, real(self.ep_r_f), self.w, self.w_eff, self.h, self.t, self.frequency.f, self.disp) else: self._z_characteristic, self.ep_reff_f = self.analyse_dispersion( self.zl_eff, self.ep_reff, self.ep_r_f, self.w_eff, self.w_eff, self.h, self.t, self.frequency.f, self.disp) # analyse losses of line # qucs use quasi-static values here, leading to a difference # against ads if compatibility_mode == 'qucs': self.alpha_conductor, self.alpha_dielectric = self.analyse_loss( real(self.ep_r_f), real(self.ep_reff), self.tand_f, self.rho, self.mu_r, real(self.zl_eff), real(self.zl_eff), self.frequency.f, self.w, self.t, self.rough) else: self.alpha_conductor, self.alpha_dielectric = self.analyse_loss( real(self.ep_r_f), real(self.ep_reff_f), self.tand_f, self.rho, self.mu_r, real(self._z_characteristic), real(self._z_characteristic), self.frequency.f, self.w, self.t, self.rough)
def __str__(self) -> str: f=self.frequency output = ( f'Microstripline Media. {f.f_scaled[0]}-{f.f_scaled[-1]} {f.unit}. {f.npoints} points' f'\n W= {self.w:.2e}m, H= {self.h:.2e}m') return output def __repr__(self) -> str: return self.__str__() @property def gamma(self): """ Propagation constant. Returns ------- gamma : :class:`numpy.ndarray` """ ep_reff, f = real(self.ep_reff_f), self.frequency.f alpha = self.alpha_dielectric.copy() if self.rho is not None: alpha += self.alpha_conductor beta = 2 * pi * f* sqrt(ep_reff) / c return alpha + 1j*beta @property def z0_characteristic(self) -> npy.ndarray: """ Characteristic Impedance, :math:`z_0` Returns ------- z0_characteristic : npy.ndarray Characteristic Impedance in units of ohms """ if self.z0_override is None: return self._z_characteristic else: return self.z0_override @property def Z0_f(self) -> npy.ndarray: """ Alias fos Characteristic Impedance for backward compatibility. Deprecated, do not use. Returns ------- z0 : :class:`numpy.ndarray` """ warnings.warn( "`Z0_f` is deprecated, use `Z0` instead", DeprecationWarning, stacklevel = 2 ) return self._z_characteristic
[docs] def analyse_dielectric(self, ep_r: NumberLike, tand: NumberLike, f_low: NumberLike, f_high: NumberLike, f_epr_tand: NumberLike, f: NumberLike, diel: str): """ This function calculate the frequency dependent relative permittivity of dielectric and and tangeantial loss factor. References ---------- .. [#] C. Svensson, G.E. Dermer, Time domain modeling of lossy interconnects, IEEE Trans. on Advanced Packaging, May 2001, N2, Vol. 24, pp.191-196. .. [#] Djordjevic, R.M. Biljic, V.D. Likar-Smiljanic, T.K. Sarkar, Wideband frequency-domain characterization of FR-4 and time-domain causality, IEEE Trans. on EMC, vol. 43, N4, 2001, p. 662-667. Returns ------- ep_r_f : :class:`numpy.ndarray` tand_f : :class:`numpy.ndarray` """ if diel == 'djordjevicsvensson': # compute the slope for a log frequency scale, tanD dependent. k = log((f_high + 1j * f_epr_tand) / (f_low + 1j * f_epr_tand)) fd = log((f_high + 1j * f) / (f_low + 1j * f)) ep_d = -tand * ep_r / imag(k) # value for frequency above f_high ep_inf = ep_r * (1. + tand * real(k) / imag(k)) # compute complex permitivity ep_r_f = ep_inf + ep_d * fd # get tand tand_f = -imag(ep_r_f) / real(ep_r_f) elif diel == 'frequencyinvariant': ep_r_f = ep_r - 1j * ep_r * tand tand_f = tand else: raise ValueError('Unknown dielectric dispersion model') return ep_r_f, tand_f
[docs] def analyse_quasi_static(self, ep_r: NumberLike, w: NumberLike, h: NumberLike, t: NumberLike, model: str): """ This function calculates the quasi-static impedance of a microstrip line, the value of the effective permittivity as per filling factor and the effective width due to the finite conductor thickness for the given microstrip line and substrate properties. References ---------- .. [#] E. Hammerstad and Ø. Jensen, "Accurate Models for Microstrip Computer-Aided Design", Symposium on Microwave Theory and Techniques, pp. 407-409, June 1980. .. [#] H. A. Wheeler, "Transmission-Line Properties of a Strip on a Dielectric Sheet on a Plane, IEEE Trans. on Microwave Theory and Techniques, vol. 25, no. 8, pp. 631-647, Aug. 1977. .. [#] M. V. Schneider, "Microstrip Lines for Microwave Integrated Circuits", The Bell System Technical Journal, vol. 48, pp. 1421-1444, May 1969. Returns ------- zl_eff : :class:`numpy.ndarray` ep_reff : :class:`numpy.ndarray` """ Z0 = sqrt(mu_0 / epsilon_0) zl_eff = Z0 ep_reff = ep_r w_eff = w if model == 'wheeler': # compute strip thickness effect dw1 = 0 if t is not None and t > 0: dw1 = t / pi * log(4. * exp(1.) / sqrt((t / h)**2) + \ (1. / pi / (w / t + 1.1))**2) dwr = (1. + 1. / ep_r) / 2. * dw1 wr = w + dwr w_eff = wr # compute characteristic impedance if (w / h) < 3.3: cp = log(4. * h / wr + sqrt((4 * h / wr)**2 + 2)) b = (ep_r - 1.) / (ep_r + 1.) / \ 2 * (log(pi / 2.) + log(4. / pi) / ep_r) zl_eff = (cp - b) * Z0 / pi / sqrt(2 * (ep_r + 1.)) else: cp = 1 + log(pi / 2.) + log(wr / h / 2. + 0.94) d = 1. / pi / 2. * (1. + log(pi**2 / 16.)) * (ep_r - 1.) \ / ep_r**2 x = 2. * log(2.) / pi + wr / h / 2. + (ep_r + 1.) / 2 / pi / \ ep_r * cp + d zl_eff = Z0 / 2 / x / sqrt(ep_r) # compute effective dielectric constant if (w / h) < 1.3: a = log(8 * h / wr) + (wr / h)**2 / 32 b = (ep_r - 1.) / (ep_r + 1.) / \ 2 * (log(pi / 2.) + log(4. / pi) / ep_r) ep_reff = (ep_r + 1.) / 2. * (a / (a - b))**2 else: # qucsator is 4.0137 but doc 0.94 * 2 = 1.88 d = (ep_r - 1.) / 2. / pi / ep_r * \ (log(2.1349 * wr / h + 4.0137) - 0.5169 / ep_r) e = wr / h / 2 + 1. / pi * log(8.5397 * wr / h + 16.0547) ep_reff = ep_r * ((e - d) / e)**2 elif model == 'schneider': u = w / h dw = 0 # consider strip thickness equations if t is not None and t > 0: if t < (w / 2): if u < (1. / pi / 2): arg = 2 * pi * w / t else: arg = h / t dw = t / pi * (1. + log(2 * arg)) if (t / dw) >= 0.75: dw = 0 w_eff = w + dw u = w_eff / h # effective dielectric constant ep_reff = (ep_r + 1.) / 2. + (ep_r - 1.) / 2. / sqrt (1. + 10. / u) # characteristic impedance if u < 1.: z = 1. / pi / 2. * log(8. / u + u / 4) else: z = 1. / (u + 2.42 - 0.44 / u + (1. - 1. / u)**6) zl_eff = Z0 * z / sqrt(ep_reff) elif model == 'hammerstadjensen': u = w / h if t is not None: t = t/h du1 = 0. # compute strip thickness effect if t is not None and t > 0: # Qucs formula 11.22 is wrong, normalized w has to be used instead (see Hammerstad and Jensen Article) # Normalized w is named u and is actually used in qucsator source code # coth(alpha) = 1/tanh(alpha) du1 = t / pi * log(1. + 4. * exp(1.) / t * tanh(sqrt(6.517 * u))**2) # sech(alpha) = 1/cosh(alpha) dur = du1 * (1. + 1. / cosh(sqrt(ep_r - 1.))) / 2. u1 = u + du1 ur = u + dur w_eff = ur * h # compute impedances for homogeneous medium zr = hammerstad_zl(ur) z1 = hammerstad_zl(u1) # compute effective dielectric constant a, b = hammerstad_ab(ur, ep_r) e = hammerstad_er(ur, ep_r, a, b) # compute final characteristic impedance and dielectric constant #including strip thickness effects zl_eff = zr / sqrt(e) ep_reff = e * (z1 / zr)**2 else: raise ValueError('Unknown microstripline quasi-static model') return zl_eff, ep_reff, w_eff
[docs] def analyse_dispersion(self, zl_eff: NumberLike, ep_reff: NumberLike, ep_r: NumberLike, wr: NumberLike, w_eff: NumberLike, h: NumberLike, t: NumberLike, f: NumberLike, disp: str): """ This function compute the frequency dependent characteristic impedance and effective permittivity accounting for microstripline frequency dispersion. References ---------- .. [#] M. Kobayashi, "A Dispersion Formula Satisfying Recent Requirements in Microstrip CAD", IEEE Trans. on Microwave Theory and Techniques, vol. 36, no. 8, pp. 1246-1250, Aug. 1988. .. [#] M. V. Schneider, "Microstrip Dispersion", Proceedings of the IEEE, Letters, vol. 60, Jan. 1972, pp. 144-146. .. [#] M. Kirschning and R. H. Jansen, "Accurate Model for Effective Dielectric Constant of Microstrip with Validity up to Millimeter-Wave Frequencies", Electronics Letters, vol. 8, no. 6, pp. 272-273, Mar. 1982. .. [#] R. H. Jansen and M. Kirschning, "Arguments and an accurate Model for the Power-Current Formulation of Microstrip Characteristic Impedance", Archiv für Elektronik und Übertragungstechnik (AEÜ), vol. 37, pp. 108-112, 1983. .. [#] E. Yamashita, K. Atsuki, and T. Ueda, "An Approximate Dispersion Formula of Microstrip Lines for Computer Aided Design of Microwave Integrated Circuits", IEEE Trans. on Microwave Theory and Techniques, vol. 27, pp. 1036-1038, Dec. 1979. Returns ------- z : :class:`numpy.ndarray` e : :class:`numpy.ndarray` """ u = wr/h if disp == 'schneider': k = sqrt(ep_reff / ep_r) fn = 4. * h * f / c * sqrt(ep_r - 1.) fn2 = fn**2 e = ep_reff * ((1. + fn2) / (1. + k * fn2))**2 z = zl_eff * sqrt(ep_reff / e) elif disp == 'hammerstadjensen': Z0 = sqrt(mu_0 / epsilon_0) g = pi**2 / 12 * (ep_r - 1) / ep_reff * sqrt(2 * pi * zl_eff / Z0) fp = (2 * mu_0 * h * f) / zl_eff e = ep_r - (ep_r - ep_reff) / (1 + g * fp**2) z = zl_eff * sqrt(ep_reff / e) * (e - 1) / (ep_reff - 1) elif disp == 'kirschningjansen': fn = f * h * 1e-6 e = kirsching_er(u, fn, ep_r, ep_reff) z, _ = kirsching_zl(u, fn, ep_r, ep_reff, e, zl_eff) elif disp == 'yamashita': k = sqrt(ep_r / ep_reff) fp = 4 * h * f / c * sqrt(ep_r - 1) * \ (0.5 + (1 + 2 * log10(1 + u))**2) e = ep_reff * ((1 + k * fp**1.5 / 4) / (1 + fp**1.5 / 4))**2 # qucs keep quasi-static impedance here if self.compatibility_mode == 'qucs': z = npy.ones(f.shape) * zl_eff # use Kirschning Jansen for impedance dispersion by default else: fn = f * h * 1e-6 z, _ = kirsching_zl(wr / h, fn, ep_r, ep_reff, e, zl_eff) elif disp == 'kobayashi': fk = c * arctan(ep_r * sqrt((ep_reff - 1) / (ep_r - ep_reff)))/ \ (2 * pi * h * sqrt(ep_r - ep_reff)) fh = fk / (0.75 + (0.75 - 0.332 / (ep_r**1.73)) * u) no = 1 + 1 / (1 + sqrt(u)) + 0.32 * (1 / (1 + sqrt(u)))**3 nc = npy.where(u < 0.7, 1 + 1.4 / (1 + u) * (0.15 - 0.235 * exp(-0.45 * f / fh)), 1) n = npy.where(no * nc < 2.32, no * nc, 2.32) e = ep_r - (ep_r - ep_reff) / (1 + (f / fh)**n) # qucs keep quasi-static impedance here if self.compatibility_mode == 'qucs': z = npy.ones(f.shape) * zl_eff # use Kirschning Jansen for impedance dispersion by default else: fn = f * h * 1e-6 z, _ = kirsching_zl(wr / h, fn, ep_r, ep_reff, e, zl_eff) elif disp == 'none': e = ones(f.shape) * ep_reff z = ones(f.shape) * zl_eff else: raise ValueError('Unknown microstripline dispersion model') return z, e
[docs] def analyse_loss(self, ep_r: NumberLike, ep_reff: NumberLike, tand: NumberLike, rho: NumberLike, mu_r: NumberLike, zl_eff_f1: NumberLike, zl_eff_f2: NumberLike, f: NumberLike, w: NumberLike, t: NumberLike, D: NumberLike): """ The function calculates the conductor and dielectric losses of a single microstrip line using wheeler's incremental inductance rule. References ---------- .. [#] H. A. Wheeler, "Formulas for the Skin Effect," Proceedings of the IRE, vol. 30, no. 9, pp. 412-424, Sept. 1942. Returns ------- a_conductor : :class:`numpy.ndarray` a_dielectric : :class:`numpy.ndarray` """ # limited to only Hammerstad and Jensen model Z0 = npy.sqrt(mu_0/epsilon_0) # conductor losses if t is not None and t > 0: if rho is None: raise(AttributeError('must provide resistivity rho. ' 'see initializer help')) else: Rs = surface_resistivity(f=f, rho=rho, mu_r=1) ds = skin_depth(f, rho, mu_r) if(npy.any(t < 3 * ds)): warnings.warn( 'Conductor loss calculation invalid for line' f'height t ({t}) < 3 * skin depth ({ds[0]})', RuntimeWarning, stacklevel=2 ) # current distribution factor Ki = exp(-1.2 * ((zl_eff_f1 + zl_eff_f2) / 2 / Z0)**0.7) # D is RMS surface roughness Kr = 1 + 2 / pi * arctan(1.4 * (D/ds)**2) a_conductor = Rs / (zl_eff_f1 * w) * Ki * Kr else: a_conductor = zeros(f.shape) # dielectric losses l0 = c / f a_dielectric = pi * ep_r / (ep_r - 1) * (ep_reff - 1) / \ sqrt(ep_reff) * tand / l0 return a_conductor, a_dielectric
def hammerstad_ab(u: NumberLike, ep_r: NumberLike) -> NumberLike: """ Hammerstad parameters for relative permittivity dispersion. """ a = 1. + log((u**4 + (u / 52.)**2) / (u**4 + 0.432)) / 49. \ + log(1 + (u / 18.1)**3) / 18.7 b = 0.564 * ((ep_r - 0.9) / (ep_r + 3.))**0.053 return a, b def hammerstad_zl(u: NumberLike) -> NumberLike: """ Hammerstad quasi-static impedance. """ fu = 6 + (2 * pi - 6) * exp(-(30.666 / u)**0.7528) Z0 = sqrt(mu_0/epsilon_0) return Z0 / 2. / pi * log(fu / u + sqrt(1. + (2. / u)**2)) def hammerstad_er(u: NumberLike, ep_r: NumberLike, a: NumberLike, b: NumberLike) -> NumberLike: """ Hammerstad quasi-static relative permittivity. """ return (ep_r + 1) / 2 + (ep_r - 1) / 2 * (1. + 10. / u)**(-a * b) def kirsching_zl(u: NumberLike, fn: NumberLike, ep_r: NumberLike, ep_reff: NumberLike, ep_reff_f: NumberLike, zl_eff: NumberLike): """ Kirschning Jansen impedance dispersion. """ #fn = f * h * 1e-6 # GHz-mm R1 = npy.minimum(0.03891 * ep_r**1.4, 20.) R2 = npy.minimum(0.2671 * u**7, 20.) R3 = 4.766 * exp(-3.228 * u**0.641) R4 = 0.016 + (0.0514 * ep_r)**4.524 R5 = (fn / 28.843)**12 R6 = npy.minimum(22.20 * u **1.92, 20.) R7 = 1.206 - 0.3144 * exp(-R1) * (1 - exp(-R2)) R8 = 1 + 1.275 * (1 - exp(-0.004625 * R3 * ep_r**1.674 \ * (fn / 18.365)**2.745)) R9 = 5.086 * R4 * R5/(0.3838 + 0.386 * R4) \ * exp(-R6) / (1 + 1.2992 * R5) \ * (ep_r - 1)**6 / (1 + 10 * (ep_r - 1)**6) R10 = 0.00044 * ep_r**2.136 + 0.0184 R11 = (fn / 19.47)**6 / (1 + 0.0962 * (fn / 19.47)**6) R12 = 1 / (1 + 0.00245 * u**2) R13 = 0.9408 * ep_reff_f**R8 - 0.9603 R14 = (0.9408 - R9) * ep_reff**R8 - 0.9603 R15 = 0.707 * R10 * (fn / 12.3)**1.097 R16 = 1 + 0.0503 * ep_r**2 * R11 * (1 - exp(-(u / 15)**6)) R17 = R7 * (1 - 1.1241 * R12 / R16 \ *exp(-0.026 * fn**1.15656 - R15)) return zl_eff * (R13 / R14)**R17, R17 def kirsching_er(u: NumberLike, fn: NumberLike, ep_r: NumberLike, ep_reff: NumberLike): """ Kirschning Jansen relative permittivity dispersion. """ # in the paper fn is in GHz-cm while in Qucs it is GHz-mm, thus a factor # 10 for all constant that multiply or divide fn P1 = 0.27488 + (0.6315 + 0.525 / ( 1+ 0.0157 * fn)**20) * u \ -0.065683 * exp(-8.7513 * u) P2 = 0.33622 * (1 -exp(-0.03442 * ep_r)) P3 = 0.0363 * exp(-4.6 * u) * (1 - exp(-(fn / 38.7)**4.97)) P4 = 1 + 2.751 * (1 - exp(-(ep_r / 15.916)**8)) Pf = P1 * P2 * ((0.1844 + P3 * P4) * fn)**1.5763 return ep_r - (ep_r - ep_reff) / (1 + Pf)