Field Deviation in Radiated Emission Measurement in Anechoic Chamber for Frequencies up to 60 GHz and Deep Learning-Based Correction

Table 2

Performance of the three deep learning models.

Measurement condition	Model type	Minimum bias	Maximum bias	MAE	MRE (%)	Time-consuming (s)
3 m distance in FAC	CNN-transformer	−3.36	4.63	2.12	4.83	2448
	CNN-GRU	−7.75	12.59	5.75	12.58	417
	CNN-LSTM	−2.39	10.38	5.39	11.50	886
3 m distance in SAC	CNN-transformer	−12.09	15.41	4.71	6.35	2464
	CNN-GRU	−10.66	12.19	4.82	6.46	413
	CNN-LSTM	−11.13	13.52	6.00	8.12	883
10 m distance in FAC	CNN-transformer	−0.86	0.21	0.26	2.61	2397
	CNN-GRU	−0.35	0.42	0.14	1.48	409
	CNN-LSTM	−0.72	0.88	0.39	4.33	875
10 m distance in SAC	CNN-transformer	−2.14	1.77	0.74	4.40	2400
	CNN-GRU	−2.31	1.63	0.89	5.74	409
	CNN-LSTM	−2.15	1.66	0.79	5.06	877