Generation of Human Micro-Doppler Signature Based on Layer-Reduced Deep Convolutional Generative Adversarial Network

Table 1

Parameters of generator network.

Row	Layer name	Layer type	Attribute
1	Input noise	Image input	1 × 1 × 100 noise vector
2	TConv 1	Transposed convolutional	512 tconv filters of size 4 × 4 with stride [2, 2] and cropping [0, 0]
3	BN1	Batch normalization	—
4	ReLU 1	ReLU	—
5	TConv 2	Transposed convolutional	512 tconv filters of size 4 × 4 with stride [2, 2] and cropping [0, 0]
6	BN2	Batch normalization	—
7	ReLU 2	ReLU	—
8	TConv 3	Transposed convolutional	512 tconv filters of size 4 × 4 with stride [2, 2] and cropping [0, 0]
9	BN3	Batch normalization	—
10	ReLU 3	ReLU	—
11	TConv 4	Transposed convolutional	512 tconv filters of size 4 × 4 with stride [2, 2] and cropping [0, 0]
12	BN4	Batch normalization	—
13	ReLU 4	ReLU	—
14	TConv 4	Transposed convolutional	512 tconv filters of size 4 × 4 with stride [2, 2] and cropping [0, 0]
15	tanh	Hyperbolic tangent	—