Visual analysis method for RF fingerprint based on important region localization and masking

Wenbin Liu; Pingzhi Fan; Jiahuang Yang; Yukai Li; Yuhao Wang; Hua Meng

doi:10.11884/HPLPB202436.230380

High Power Laser and Particle Beams, Volume. 36, Issue 4, 043019(2024)

Visual analysis method for RF fingerprint based on important region localization and masking

Wenbin Liu1...2, Pingzhi Fan1, Jiahuang Yang3, Yukai Li3, Yuhao Wang3 and Hua Meng3,* |Show fewer author(s)

Author Affiliations

¹School of Information Science & Technology, Southwest Jiaotong University, Chengdu 611756, China

²The 30th Research Institute of China Electronics Technology Group Corporation, Chengdu 610041, China

³School of Mathematics, Southwest Jiaotong University, Chengdu 611756, China

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Figures & Tables(8)

Fig. 1. Network architecture of MiddleResNet and LittleResNet

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Fig. 2. Comparison of time-domain pulse signal heat maps between MiddleResNet and LittleResNet

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Fig. 3. Important areas of emitters when using MiddleResNe and LittleResNet

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Fig. 4. Test results by continuous mask and different samples comparison

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Table 1. Performance comparison results of three models
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Table 1. Performance comparison results of three models
model accuracy parameter number/10⁶
5 dB 9 dB 14 dB all data
LittleResNet 0.7605 0.8775 0.9605 0.8812 0.153
MiddleResNet 0.7665 0.8990 0.9685 0.8930 0.254
Transformer 0.8670 0.9493 0.995 0.9439 1.021

Table 2. Number and sequence of mispredicted samples

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Table 2. Number and sequence of mispredicted samples

emitter	Transformer	MiddleResNet	LittleResNet
1#	1(sample23)	4(sample3,5,12,17)	4(sample5,10, 12, 23)
2#	0	7(sample3,5,7,14,19,22,28)	6(sample3,6,7,19,22,28)
3#	0	0	0
4#	1(sample19)	2(sample7,19)	2(sample7,19)
5#	1(sample9)	1(sample14)	0
6#	0	0	0
7#	0	0	0
8#	0	0	0
9#	0	0	0
10#	0	0	0

Table 3. Prediction results when masking 3# and using the MiddleResNet model

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Table 3. Prediction results when masking 3# and using the MiddleResNet model

sample	1	2	3	4	5	6	7	8	9	10	11	12	13	14	15	16	17	18	19	20	21	22	23	24	25	26	27	28	29	30
no masking	3	3	3	3	3	3	3	3	3	3	3	3	3	3	3	3	3	3	3	3	3	3	3	3	3	3	3	3	3	3
1^st masking	3	3	2	3	3	3	3	3	1	3	3	1	3	3	3	3	3	3	3	3	3	3	3	3	2	3	2	3	3	3
2^nd masking	3	3	2	3	3	3	3	3	3	3	3	3	3	3	3	3	3	3	3	3	3	3	3	3	3	3	2	3	3	3
3^rd masking	3	3	3	3	3	3	3	3	3	3	3	3	3	3	3	3	3	3	3	3	3	3	2	3	3	3	2	3	3	3

Table 4. Number of mispredicted samples and emitter(s) mainly mispredicted to when masking different times

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Table 4. Number of mispredicted samples and emitter(s) mainly mispredicted to when masking different times

emitter	MiddleResNet					LittleResNet
emitter	no masking	1^stmasking	2^ndmasking	3^rdmasking	emitter(s) mainly mispredicted to	no masking	1^stmasking	2^ndmasking	3^rdmasking	emitter(s) mainly mispredicted to
1#	4	27	29	29	2#	4	10	10	10	2#
2#	7	16	19	19	1#、3#	6	10	14	10	1#、3#
3#	0	5	2	2	2#、1#	0	0	0	0	——
4#	2	13	27	29	3#	2	12	16	10	3#、2#、5#、1#
5#	1	20	29	29	3#、4#	0	5	14	17	3#
6#	0	13	28	30	7#、10#	0	15	23	25	7#、10#
7#	0	7	9	16	10#、3#	0	1	1	7	10#、3#
8#	0	9	20	28	10#、7#、9#、3#	0	7	13	16	10#、7#、6#、9#
9#	0	8	14	17	10#、7#、3#	0	6	13	16	10#
10#	0	2	11	15	7#、3#	0	2	3	4	7#

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Wenbin Liu, Pingzhi Fan, Jiahuang Yang, Yukai Li, Yuhao Wang, Hua Meng. Visual analysis method for RF fingerprint based on important region localization and masking[J]. High Power Laser and Particle Beams, 2024, 36(4): 043019

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