An unmanned aerial vehicle jamming method based on distributed beam synthesis

The UAV jamming method based on distributed beamforming solves the problems of insufficient robustness and high computational complexity in existing technologies, and achieves effective jamming and efficient computation of UAVs in no-fly zones. It is suitable for multi-node distributed deployment scenarios in urban no-fly zones.

CN121643984BActive Publication Date: 2026-04-28XINGMU TECH (HANGZHOU) CO LTD
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Patent Information

Application Number
CN202610156781.6
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2026-02-04
Publication Date
2026-04-28
Estimated Expiration
2046-02-04

AI Technical Summary

Technical Problem

Existing anti-drone jamming technologies suffer from insufficient robustness, high computational complexity, and difficulty in adapting to multi-node distributed deployment in urban no-fly zones, resulting in limited full-area coverage and practicality.

Method used

A UAV jamming method using distributed beamforming is proposed. By constructing a distributed multi-node collaborative jamming architecture, the spatial deployment of jamming nodes and beamforming strategies are jointly optimized to maximize the weakest jamming power in the no-fly zone. The method is decomposed into node deployment sub-problems and beamforming sub-problems, and efficient solutions are achieved through alternating optimization.

Benefits of technology

It effectively suppresses all potential drones within the no-fly zone, maintains robustness to interference and computational efficiency, adapts to the control needs of no-fly zones of different sizes and shapes, and reduces the performance dependence on a single node and the communication bandwidth requirement.

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Abstract

The application discloses a kind of unmanned aerial vehicle interference methods based on distributed beam synthesis, first, with the weakest interference power in the whole no-fly zone as the goal, establish the mathematical model of node deployment and beam synthesis joint optimization, construct a maximum-minimum optimization problem;Second, to improve the calculation efficiency, the non-convex optimization problem is decomposed into node deployment subproblem and beam synthesis subproblem to support distributed solution;Finally, through the low complexity iterative calculation of alternating optimization framework, the node deployment strategy and beam synthesis scheme with interference robustness are obtained, the unmanned aerial vehicle interference method based on distributed beam synthesis described in the application can effectively suppress all potential unmanned aerial vehicle targets in the region by maximizing the weakest interference power in the no-fly zone, overcome the shortcomings of traditional centralized interference method, such as poor robustness and high computational complexity, thereby improving the interference performance and practical value of anti-unmanned aerial vehicle system.
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