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Table 1 The first adopted CNN network layout

From: Conditionally optimal classification based on CFAR and invariance property for blind receivers

Layer

Output dimensions

Input layer

2 ×1024 ×1

Conv.

2 ×1024 ×16

Batch normalization

2 ×1024 ×16

ReLU

2 ×1024 ×16

Max pool

2 ×512 ×16

Conv.

2 ×512 ×24

Batch normalization

2 ×512 ×24

ReLU

2 ×512 ×24

Max pool

2 ×256 ×24

Conv.

2 ×256 ×32

Batch normalization

2 ×256 ×32

ReLU

2 ×256 ×32

Max pool

2 ×128 ×32

Conv.

2 ×128 ×48

Batch normalization

2 ×128 ×48

ReLU

2 ×128 ×48

Max pool

2 ×64 ×48

Conv.

2 ×64 ×64

Batch normalization

2 ×64 ×64

ReLU

2 ×64 ×64

Max pool

2 ×32 ×64

Conv.

2 ×32 ×96

Batch normalization

2 ×32 ×96

ReLU

2 ×32 ×96

Average pooling

2 ×1 ×96

Fully connected

1 ×1 ×2

Soft Max

1 ×1 ×2