Published on: June 2026
MULTI-BATTLE DEFENDER MISSILE SYSTEM: DESIGN, INTEGRATION, AND ADAPTIVE CONTROL FOR MODERN AIR DEFENCE
Phad Shrikant Vikas Tonpe Vikas Datta Chorage Pranali Yamnath Prof. N. B. Nagare
Prof. A. N. Dighe
Article Status
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Abstract
Long-range, medium-range, and short-range weapons are employed in a layered defense, which can intercept incoming threats. For good protection, both kinetic (missiles, guns) and non-kinetic (jamming, electronic warfare) methods are used. AI enhances decision-making, threat categorization, and control systems like PID, fuzzy logic, model predictive control weapon targeting and interception. Multiple defense units can operate efficiently over a vast area with network-based coordination.
In general, these systems are becoming more modular, intelligent, and cost effective, and future development of these systems will focus on the integration of AI and directed energy weapons, for greater and more adaptive air defense capabilities.
Keywords— Air Defence, Multi-target Tracking, Wireless control, Embedded System.
How to Cite this Paper
Vikas, P. S., Datta, T. V., Yamnath, C. P. & Nagare, N. B. (2026). Multi-Battle Defender Missile System: Design, Integration, and Adaptive Control for Modern Air Defence. International Journal of Creative and Open Research in Engineering and Management, <i>02</i>(6). https://doi.org/10.55041/ijcope.v2i6.206
Vikas, Phad, et al.. "Multi-Battle Defender Missile System: Design, Integration, and Adaptive Control for Modern Air Defence." International Journal of Creative and Open Research in Engineering and Management, vol. 02, no. 6, 2026, pp. . doi:https://doi.org/10.55041/ijcope.v2i6.206.
Vikas, Phad,Tonpe Datta,Chorage Yamnath, and N. Nagare. "Multi-Battle Defender Missile System: Design, Integration, and Adaptive Control for Modern Air Defence." International Journal of Creative and Open Research in Engineering and Management 02, no. 6 (2026). https://doi.org/https://doi.org/10.55041/ijcope.v2i6.206.
References
- Wu, J. Li, and H. Zhang, “A comprehensive survey on UAV target tracking technologies,” IEEE Access, vol. 13, pp. 11234–11250, 2025.
- Guan, Y. Chen, and M. Wang, “Recent advances in multi-object tracking systems: A review,” IEEE Transactions on Intelligent Transportation Systems, vol. 26, no. 2, pp. 1456–
- 1470, 2025.
- Azam, “Dynamic target tracking and following techniques using UAV platforms,” IEEE Sensors Journal, vol. 24, no. 8, pp. 9801–9812,2024.
- Kumar and P. Singh, “Real-time video surveillance using edge computing for object tracking,” IEEE Internet of Things Journal, vol. 11, no. 5, pp. 4201–4215, 2024.
- Li, et al., “Active counter-UAV system integrated with autonomous mobile platforms for inspection and defence applications,” IEEE Access, 2025.
- Sharma and D. Patel, “RF-based surveillance and aerial threat detection systems,” IEEE Aerospace and Electronic Systems Magazine, vol. 39, no. 1, pp. 34–45, 2024.
- Wu, Y. Li, and D. Xue, “UAV Target Tracking: A Survey,” Springer, 2025.
- “Research on Low-Altitude UAV Target Tracking Method Based on ISAC,” MDPI Electronics, 2025.
- “DeTrAck: UAV Detection and Tracking Using Neural Networks Ensemble on Surveillance Systems,” IEEE Access, 2025.
- “Cognitive Embodied Learning for Anomaly Active Target Tracking,” Nature Communications Engineering, 2025.
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- •Peer Review Type: Double-Blind Peer Review
- •Published on: Jun 17 2026
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