基于自适应小波分解和轻量化网络架构的特定辐射源识别算法

doi:10.12305/j.issn.1001-506X.2025.09.02

Abstract

Abstract:

To address the issue of low recognition rates of specific emitter identification （SEI） algorithms in complex and dynamic electromagnetic environments, a SEI algorithm based on adaptive wavelet decomposition and lightweight network architecture is proposed. Initially, a preprocessing method of adaptive wavelet decomposition is designed to determine the optimal wavelet coefficients for each signal sample. Subsequently, a feature concatenation algorithm is devised to integrate the optimal coefficients of all signal samples, forming the feature representation of the emitter individual. Finally, a lightweight and efficient network model is destgned, integrating inverted residual modules and a multi-head attention mechanism to extract more discriminative fine-grained features. The recognition rates on three different datasets are 99.6%, 99.31%, and 98.8%, respectively, indicating that the proposed algorithm has a higher recognition rate compared to other recognition algorithms.The proposed algorithm exhibits remarkable robustness, maintaining effective identification performance in the presence of Gaussian white noise and typical multipath fading channel environments.

Key words: specific emitter identification （SEI）, wavelet transform, neural network

CLC Number:

TN 911.7

Wenqiang SHI, Yingke LEI, Hu JIN, Fei TENG. Algorithm for specific emitter identification based on adaptive wavelet decomposition and lightweight network architecture[J]. Systems Engineering and Electronics, 2025, 47(9): 2785-2796.

Figures/Tables 14

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References 31

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对照组	识别率
对照组	数据集1	数据集2	数据集3
1	95.67	92.36	87.38
2	94.25	93.12	93.15
3	91.66	94.65	88.11
4	84.52	87.33	79.28
5	75.35	81.05	75.17
6	70.31	74.63	70.57
7	62.2	70.66	64.27
8	99.6	99.31	98.8

算法	模型参数量	收敛时间/s
算法	模型参数量	数据集1	数据集2	数据集3
本文算法	628 813	100.36	131.26	115.14
MSMD-AE	416 157	97.32	128.31	127.35
DIR	633 135	104.78	138.1	126.76
MH-SEI	18 201 062	132.2	162.12	151.1
ABL	1 837 691	115.2	138.18	124.11

函数	识别率
函数	数据集1	数据集2	数据集3
Coiflet	95.32	94.21	91.22
Haar	92.21	88.10	90.37
Daubechies	94.24	91.62	87.55
Symlet	99.60	99.31	98.8

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Algorithm for specific emitter identification based on adaptive wavelet decomposition and lightweight network architecture

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