Simultaneous Estimation of Wall and Object Parameters in TWR Using Deep Neural Network

Table 1

A description of the dataset parameters and their values.

	Single-target			Two-target
	Length	Step	N.O. Selected state	Length	Step	N.O. Selected state
Target permittivity 1	[5 to 85)	15	6	[5 to 85)	15	6
Target permittivity 2	—	—	—	[5 to 85)	15	6
Wall permittivity	[3 to 9)	1	6	[3 to 9)	1	6
Wall thickness (cm)	[10 to 20)	1	10	[10 to 19)	1	9
Target 1: X_center1	[5 to 85)	10	9	[5 to 85)	20	30
Target 1: Y_center1	[50 to 100)	10	5	[50 to 100)	20
Target 2: X_center2	—	—	—	[X_center1 + 10 to 90)	20
Target 2: Y_center2	—	—	—	[Y_center1 + 10 to 100)	20
			Total datasets = 16,200			Total datasets = 58,320