Academic Journal of Computing & Information Science, 2025, 8(10); doi: 10.25236/AJCIS.2025.081007.
Zhihao Jiang1, Junyi Yang1
1Hainan Vocational University of Science and Technology, Haikou, Hainan, 571126, China
With the rapid development of modern precision-guided missile technology, traditional air defense measures face unprecedented challenges. Smoke screen jamming bombs, as a low-cost and efficient countermeasure, interfere with the missile’s terminal guidance process, thereby weakening its strike accuracy. However, the effectiveness of smoke screen jamming is constrained by several factors, such as the UAV's flight path, the timing of the smoke bomb release, and the detonation delay. This paper proposes a UAV smoke screen jamming bomb deployment strategy based on genetic algorithms, optimizing both single-bomb and multi-bomb coordinated deployments. By adjusting the UAV's flight parameters, release timing, and detonation delay, experimental results show that the optimized smoke screen jamming duration increased from 1.3872 seconds to 5.24 seconds, while the total coverage duration of three bombs in coordinated deployment reached 11.22 seconds, a 2.9-fold improvement. This research provides effective technical support for air defense operations in complex battlefield environments.
UAV, Smoke Screen Jamming Bomb, Optimization Algorithm, Multi-Bomb Coordination, Flight Path Optimization
Zhihao Jiang, Junyi Yang. Optimization of UAV Smoke Screen Jamming Bomb Deployment Strategy and Collaborative Effect Study. Academic Journal of Computing & Information Science (2025), Vol. 8, Issue 10: 44-49. https://doi.org/10.25236/AJCIS.2025.081007.
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