Efficient High-Precision Classification Algorithm for Radar Deceptive Jamming via Array Detection.
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| Title: | Efficient High-Precision Classification Algorithm for Radar Deceptive Jamming via Array Detection. |
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| Authors: | Wenjie Liu1, Wenfang Qin1, Mingwei Shen2, Guodong Han3 hgd_cetc@163.com |
| Source: | Progress in Electromagnetics Research C. 2025, Vol. 155, p29-35. 7p. |
| Subjects: | Multiple Signal Classification, K-means clustering, Classification algorithms, Electronic systems, Degrees of freedom, Radar interference |
| Abstract: | In complex electromagnetic scenarios where multiple deceptive jamming signals are simultaneously aliased in the timefrequency domain, conventional single-channel electronic detection systems struggle to effectively separate and classify overlapping jamming sources. To address this limitation, this paper investigates an array detection-based classification scheme for multi-source jamming. First, due to the spatial degrees of freedom offered by array systems, the Direction-of-Arrival (DOA) of each jamming source is precisely estimated using the MUSIC algorithm. Then, the adaptive digital beamforming (ADBF) filters are designed based on the estimated DOA parameters, enabling spatial-domain extraction of individual jamming signals. Finally, the DOA information is integrated into the Pulse Description Word (PDW) of each separated jamming measurement, which can facilitate adaptive K-Means clustering with enhanced class separability. Simulation results demonstrate that the proposed method achieves a 22.4% improvement in classification accuracy compared to existing single-channel detection approaches, while maintaining computational efficiency. [ABSTRACT FROM AUTHOR] |
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| Database: | Engineering Source |
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