Specific Emitter Identification through Multi-Domain Mixed Kernel Canonical Correlation Analysis
Abstract
:1. Introduction
2. Analysis of Canonical Correlation Analysis (CCA)
3. Kernel Methods
3.1. Kernel CCA
3.2. Mixed Kernel
3.3. Parameters Optimization
4. Experimental Analysis
4.1. Datasets
4.2. Kernel Function Analysis
4.3. Multi-Domain Feature Fusion Analysis
4.4. Performance Analysis
5. Summary
Author Contributions
Funding
Data Availability Statement
Conflicts of Interest
References
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: metric spaces | : inner product |
: feature vector | : Lagrange function |
: the linear transformation of x | : kernel matrix |
: the linear transformation of y | : a map into Hilbert spaces |
: correlation coefficient | : correlations |
: covariance metric | : fusion feature vector |
Kernel Function | Mixed Kernel | RBF Kernel | Poly Kernel |
---|---|---|---|
Time (s) | 4.1131 | 4.9133 | 3.8902 |
Method | CCA | Poly CCA | RBF CCA | KPCA | MKCCA |
---|---|---|---|---|---|
Time(s) | 28.543 | 15.116 | 22.797 | 40.237 | 19.729 |
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Chen, J.; Li, S.; Qi, J.; Li, H. Specific Emitter Identification through Multi-Domain Mixed Kernel Canonical Correlation Analysis. Electronics 2024, 13, 1173. https://doi.org/10.3390/electronics13071173
Chen J, Li S, Qi J, Li H. Specific Emitter Identification through Multi-Domain Mixed Kernel Canonical Correlation Analysis. Electronics. 2024; 13(7):1173. https://doi.org/10.3390/electronics13071173
Chicago/Turabian StyleChen, Jian, Shengyong Li, Jianchi Qi, and Hongke Li. 2024. "Specific Emitter Identification through Multi-Domain Mixed Kernel Canonical Correlation Analysis" Electronics 13, no. 7: 1173. https://doi.org/10.3390/electronics13071173