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2025-03-14
A Novel Method for Multi-Function Radar Work Mode Boundary Detection
By
Progress In Electromagnetics Research C, Vol. 153, 213-218, 2025
Abstract
Work mode boundary detection can provide basic information units for the recognition of consecutive work modes in the intercepted multi-function radar (MFR) pulse sequence. The existing boundary detection methods tend to detect false boundaries when the pulse parameters vary drastically within the work mode, such as when the pulse repetition interval (PRI) modulation type is stagger or agile. To address the issue of over-detection of the work mode transition boundary, a new work mode boundary detection method is proposed based on the arc crossings (AC). It utilizes the AC to quantify and annotate the similarities within MFR work modes. Without relying on prior knowledge, it can accurately capture the structural characteristics of the boundary transition and effectively adapt to different pulse parameter modulation types. The experimental results show that it reduces the segmentation probabilistic error by 8.7% and the false alarm rate by 19.85% compared to the baseline algorithm.
Citation
Yuxin Fu, Jiantao Wang, Jie Huang, Tongxin Dang, and Yiming Li, "A Novel Method for Multi-Function Radar Work Mode Boundary Detection," Progress In Electromagnetics Research C, Vol. 153, 213-218, 2025.
doi:10.2528/PIERC24123101
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