## Copyright (C) 2018 Jens Ahrensfeld ## ## This program is free software; you can redistribute it and/or modify it ## under the terms of the GNU General Public License as published by ## the Free Software Foundation; either version 3 of the License, or ## (at your option) any later version. ## ## This program is distributed in the hope that it will be useful, ## but WITHOUT ANY WARRANTY; without even the implied warranty of ## MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the ## GNU General Public License for more details. ## ## You should have received a copy of the GNU General Public License ## along with this program. If not, see . ## -*- texinfo -*- ## @deftypefn {Function File} {@var{retval} =} tunable_bandpass (@var{input1}, @var{input2}) ## ## @seealso{} ## @end deftypefn ## Author: Jens Ahrensfeld ## Created: 2018-11-26 ## taken from: https://www.mwrf.com/components/bandpass-filters-feature-wide-tuning-ranges function tuneable_bandpass(varargin) params = struct ('f_low_Hz', 40e6, 'f_high_Hz', 800e6, 'f_step_Hz', 1e6, 'B_geo_Hz', 10e6, 'R_geo', 500, 'R_0', 50, 'k_gamma', 1.0); units = struct ('f_low_Hz', 'Hz', 'f_high_Hz', 'Hz', 'f_step_Hz', 'Hz', 'B_geo_Hz', 'Hz', 'R_geo', 'O', 'R_0', 'O', 'k_gamma', ''); % Parse parameters names = fieldnames(params); for k=1:nargin-1, for n=1:length(names), if strcmpi(varargin{k}, names{n}) params.(names{n}) = varargin{k+1}; end end end print_parameters(params, units) f_low_Hz = params.f_low_Hz; % Minimum tunable filter center frequency (Hz) f_high_Hz = params.f_high_Hz; % Maximum tunable filter center frequency (Hz) B_geo_Hz = params.B_geo_Hz; % -3 dB RF filter bandwidth (in Hz) at the geometric center frequency R_geo = params.R_geo; % Internal filter impedance (in O) at the geometric center frequency of the filter R_0 = params.R_0; % Port impedance, usually taken as 50 O k_gamma = params.k_gamma; % Constant value. A value of ? = 1.0 results in a constant-Q filter design, % while a value of ? = 2.0 results in a constant-bandwidth filter design. % A value between one and two will yield a blend of the two filter characteristics. % Inductor Q values will be more critical as the value of ? is increased. f_step_Hz = params.f_step_Hz; f_Hz = f_low_Hz:f_step_Hz:f_high_Hz; omega = 2*pi*f_Hz; f_geo_Hz = sqrt(f_low_Hz*f_high_Hz) % Hz omega_geo = 2*pi*f_geo_Hz % rad/sec % Design I. R_t = R_geo*(omega/omega_geo).^k_gamma; % Equ. (1) L_c = R_geo/omega_geo % Equ. (2) C_tgeo = 1./(pi*sqrt(2)*R_geo*B_geo_Hz) % Equ. (3) L_eff = 1./(omega_geo^2*C_tgeo) % Equ. (4) L_r = L_eff * L_c / (L_c - L_eff) % Equ. (5) C_t = (omega_geo./omega).^2 * C_tgeo; % Equ. (6) % Tuning capacitances C1 and C2 are given by Eqs. 7 and 8 C_1 = (omega*R_0).^(-1) .* sqrt((omega_geo./omega).^k_gamma * (R_0/R_geo) + omega.^2.*C_t.^2*R_0*R_geo.*(omega/omega_geo).^k_gamma - 1); % Equ. (7) C_2 = ((omega.^2.*C_t)./((omega_geo./omega).^(2*k_gamma) .* (1/R_geo)^2 + (omega.*C_t).^2) - (omega.^2*R_0^2.*C_1)./(1+(omega*R_0.*C_1).^2)).^(-1); % Equ. (8) C_1_geo = (omega_geo*R_0).^(-1) .* sqrt((omega_geo./omega_geo).^k_gamma * (R_0/R_geo) + omega_geo.^2.*C_tgeo.^2*R_0*R_geo.*(omega_geo/omega_geo).^k_gamma - 1) % Equ. (7) C_2_geo = ((omega_geo.^2.*C_tgeo)./((omega_geo./omega_geo).^(2*k_gamma) .* (1/R_geo)^2 + (omega_geo.*C_tgeo).^2) - (omega_geo.^2*R_0^2.*C_1_geo)./(1+(omega_geo*R_0.*C_1_geo).^2)).^(-1) % Equ. (8) subplot (2,1,1) plot(f_Hz*1e-6, C_1*1e12); grid; xlabel("f/MHz"), ylabel("C_1 [pF]"); subplot (2,1,2) plot(f_Hz*1e-6, C_2*1e12); grid; xlabel("f/MHz"), ylabel("C_2 [pF]"); % Design II. L_c = R_geo/omega_geo; % Equ. (9) L_eff = R_geo./(pi*sqrt(2)*B_geo_Hz); % Equ. (10) L_r = L_eff - L_c; % Equ. (11) C_tgeo = 1./(L_eff*omega_geo^2); % Equ. (12) C_t = (omega_geo./omega).^2 * C_tgeo; % Equ. (13) a = -omega.^2*R_0.*R_t; % Equ. (14) b = 1./C_t; % ... d = R_t/R_0; % Equ. (14) alpha = (d-b.^2/a)./(1+b.^2/a - d); % Equ. (15) beta = (b./a)./(1 + b.^2/a - d); % Equ. (16) C_2 = alpha.*C_1 + beta; % Equ. (17) endfunction