An Improved Adaptive Radar Signal Sorting Algorithm Based on DBSCAN by a Novel CVI
Radar signal sorting is a crucial step in radar signal processing, and its accuracy directly affects the progress of electronic warfare. Numerous machine learning algorithms, such as K-Means and density-based spatial clustering of applications with noise (DBSCAN), have been applied to radar signal s...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2024-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10443630/ |