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EURASIP Journal on Wireless Communications and Networking

Table 9 Supplementary experiments

From: Measurement and evaluation method of radar anti-jamming effectiveness based on principal component analysis and machine learning

Number

Curun

Bt

Fet

\(SIR_{1}\)

\(SIR_{2}\)

\(SIR_{3}\)

Nfta

\(z_{1}\)

\(z_{2}\)

1

8

Y

Y

25

25

18

1

1.451

0.078

2

16

Y

N

25

30

22

5

− 0.252

0.462

3

24

N

N

25

35

26

9

− 0.271

0.029

4

32

N

Y

25

40

30

1

1.443

− 0.495

5

32

N

N

30

25

22

5

− 0.406

− 0.246

6

24

N

Y

30

30

18

1

− 0.319

− 0.439

7

16

Y

Y

30

35

30

9

− 0.001

0.929

8

8

Y

N

30

40

26

5

0.058

0.685

9

16

Y

Y

35

25

26

1

1.443

0.477

10

8

N

N

35

30

30

9

1.449

0.163

11

32

Y

N

35

35

18

9

− 0.116

0.910

12

24

N

Y

35

40

22

1

1.443

− 0.495

13

24

N

N

40

25

30

5

1.446

− 0.171

14

32

Y

Y

40

30

26

1

0.401

− 0.463

15

8

N

Y

40

35

22

9

− 0.149

0.876

16

16

Y

N

40

40

18

5

− 0.083

1.067

  1. \(^1\) \(SIR_{1}\), \(SIR_{2}\) and \(SIR_{3}\), respectively, denote the signal to interference ratio in the noise FM jamming, in the noise PM jamming and in the multiple false targets jamming
  2. \(^2\) Curun, Bt, Fet and Nft, respectively, denote CFAR unilateral reference unit number, the burn through, the front edge tracking and the number of false targets
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