import matplotlib.pyplot as plt from skrf import Network from core.freqency import auto_select_multple_ports from core.freqency import auto_select from core.vectorFitting import VectorFitting import numpy as np from typing import Literal import skrf as rf def vector_fitting_info(vf:VectorFitting,sampled_freqs,sampled_responses,title:str='vf',parameter_type:Literal['y','s','z']='y'): for i in range(vf.network.nports): for j in range(vf.network.nports): rms_error = vf.get_rms_error(i,j,parameter_type=parameter_type) print(f'RMS Error Port {i+1} to Port {j+1}: {rms_error}') fitted_points = vf.get_model_response(i,j,sampled_freqs) if parameter_type=='y': input_points = vf.network.y[:,i,j] elif parameter_type=='s': input_points = vf.network.s[:,i,j] elif parameter_type=='z': input_points = vf.network.z[:,i,j] plt.figure(figsize=(20,12)) plt.suptitle(f'{title} Port {i+1} to Port {j+1}') plt.subplot(2,2,1) plt.title('Magnitude') plt.plot(sampled_freqs,np.abs(sampled_responses[:,i,j]),'o', ms=4, color='red', label='Samples') plt.plot(vf.network.f,np.abs(input_points),'x', ms=4, color='blue', label='Input Samples') plt.plot(sampled_freqs,np.abs(fitted_points),'-', lw=2, color='k', label='Fit') plt.ylabel('Magnitude (dB)') plt.grid() plt.legend() plt.subplot(2,2,2) plt.title('Phase') plt.plot(sampled_freqs,np.angle(sampled_responses[:,i,j]),'o', ms=4, color='red', label='Samples') plt.plot(vf.network.f,np.angle(input_points),'x', ms=4, color='blue', label='Input Samples') plt.plot(sampled_freqs,np.angle(fitted_points),'-', lw=2, color='k', label='Fit') plt.ylabel('Phase (deg)') plt.xlabel('Frequency (GHz)') plt.grid() plt.legend() plt.subplot(2,2,3) plt.title('RMS_Error') plt.plot(rms_error, 'b', label='RMS Error') plt.ylabel('RMS Error (dB)') plt.grid() plt.legend() plt.savefig(f"outputs/{title.replace(' ','_')}_{i+1}_{j+1}.png") original_network = Network('/tmp/paramer/simulation/3000/3000.s2p') # original_network = rf.data.ring_slot H,freqs = auto_select_multple_ports(original_network.y,original_network.f,max_points=20) fitted_network = Network(y=H,f=freqs) vf = VectorFitting(fitted_network) vf.vector_fit(n_poles_cmplx=2,n_poles_real=0,parameter_type='y') # vf.auto_fit(parameter_type='y') vector_fitting_info(vf,original_network.f,original_network.y,parameter_type='y')