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 Liu^1,2, Pingzhi Fan¹, Jiahuang Yang³, Yukai Li³, Yuhao Wang³, and Hua Meng^3、*

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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