International Journal of New Developments in Engineering and Society, 2024, 8(2); doi: 10.25236/IJNDES.2024.080218.
Changqing Kong
The 27th Research Institute of China Electronics Technology Group Corporation, Zhengzhou, 450047, China
This study delves into the theoretical foundation, technical architecture design, and practical application effects of multi-source radar signal fusion technology in airborne target detection, aiming to enhance the accuracy, efficiency, and real-time performance of airborne target detection. By comprehensively employing advanced signal processing algorithms, machine learning, and artificial intelligence technology, this study achieves precise identification of subtle features of airborne targets, optimizes the continuity and accuracy of target tracking, and verifies the wide applicability and significant advantages of this technology through various practical application scenarios. The research results indicate that multi-source radar signal fusion technology can effectively overcome the limitations of single radar systems in complex environments, significantly improve the coverage, identification accuracy, and tracking continuity of airborne target detection, and provide an efficient and reliable technical solution for airborne target detection.
multi-source radar; signal fusion technology; airborne target detection; precise target identification; efficient target tracking; machine learning; artificial intelligence
Changqing Kong. Research on the Application of Multi-Source Radar Signal Fusion Technology in Airborne Target Detection. International Journal of New Developments in Engineering and Society (2024) Vol.8, Issue 2: 115-119. https://doi.org/10.25236/IJNDES.2024.080218.
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