基于VMD和特征融合的辐射源信号识别

doi:10.3969/j.issn.1001-506X.2020.07.10

Abstract

Abstract:

In the increasingly complex electronic warfare, how to improve the radar emitter signal (RES) recognition rate and anti-noise performance is an urgent problem to be solved. For this reason, a RES recognition method based on a combination of variational mode decomposition (VMD) and feature fusion is proposed. Firstly, the VMD algorithm is used to decompose the radar signals to obtain three intrinsic mode functions (IMF). Then the permutation entropy (PE)and sample entropy(SE) features of the three IMF components are extracted to form a 6-dimensional feature vector. The support vector machine is used to identify the radar emitter signals. The method is validated by six different radar emitter signals. The simulation results show that the proposed method can achieve the better recognition rate under low signal to noise ratio (SNR). When the SNR is not lower than 0 dB, the recognition rate of the 6-dimensional feature vector reaches 100%, and it has strong anti-noise performance.

Key words: radar emitter signal (RES) recognition, variational mode decomposition (VMD), feature fusion, support vector machine (SVM)

CLC Number:

TN973

Yalan LI, Weidong JIN, Peng GE. Radiation emitter signal recognition based on VMD and feature fusion[J]. Systems Engineering and Electronics, 2020, 42(7): 1499-1503.

Figures/Tables 7

Table 1

Fig.1

Table 2

Table 3

Fig.2

Table 4

Fig.3

References 30

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SNR/dB	识别率/%
SNR/dB	m=3	m=4	m=5	m=6
-6	69.58	62.92	52.50	50.00
-4	84.17	80.83	67.50	66.67
-2	89.17	81.67	71.25	70.42
0	100	89.58	80.83	78.75
2	100	91.25	86.67	83.33
4	100	96.25	89.17	85.42
6	100	98.75	92.50	87.92

SNR/dB	识别率/%
SNR/dB	r=0.1std	r=0.15std	r=0.2std	r=0.25std
-6	56.67	60.00	60.42	61.25
-4	74.58	77.50	77.92	80.00
-2	76.25	79.16	80.00	81.67
0	91.67	94.58	93.75	95.83
2	92.08	95.00	94.17	97.50
4	92.50	95.42	95.42	97.92
6	91.25	97.08	96.67	99.17

SNR/ dB	识别率/%
SNR/ dB	CW	LFM	BPSK	P1	Costas	SNLFM	总体
-6	100	82.5	87.5	72.5	92.5	97.5	88.75
-4	100	100.0	100.0	95.0	95.0	100.0	98.33
-2	100	95.0	100.0	100.0	97.5	100.0	98.75
0	100	100.0	100.0	100.0	100.0	100.0	100.00
2	100	100.0	100.0	100.0	100.0	100.0	100.00
4	100	100.0	100.0	100.0	100.0	100.0	100.00
6	100	100.0	100.0	100.0	100.0	100.0	100.00

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Radiation emitter signal recognition based on VMD and feature fusion

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准确率	SNR/dB
准确率	-6	-4	-2	0	2	4	6
取值/%	29	36	47	55	68	70	74