Acta Geodaetica et Cartographica Sinica ›› 2026, Vol. 55 ›› Issue (9): 1530-1541.doi: 10.11947/j.AGCS.2026.20260107

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GNSS distribute suppression jamming method based on directional antennas

Zhiheng Liu(), Weiping Liu(), Zhiwei Lü, Bo Jiao   

  1. School of Geospatial Information, Information Engineering University, Zhengzhou 450001, China
  • Received:2026-03-25 Revised:2026-06-12 Online:2026-10-28 Published:2026-10-28
  • Contact: Weiping Liu E-mail:zhliu96@163.com;lwpchxy@sina.com
  • About author:Liu Zhiheng (1996—), male, PhD candidate, lecturer, majors in satellite navigation security and countermeasures. E-mail: zhliu96@163.com
  • Supported by:
    The National Natural Science Foundation of China(42674052)

Abstract:

To address the issues of low energy utilization efficiency, high deployment costs, and poor concealment associated with traditional omnidirectional antennas in GNSS distribute suppression jamming, this paper proposes a GNSS distribute suppression jamming method based on directional antennas. This method is built upon the 3D space GNSS distributed suppression jamming method based on slope optimal point. By constructing a 3D ellipsoidal radiation model for directional antennas and establishing coordinate transformation relationships, an improved Euclidean clustering algorithm based on geometric constraints is designed to accurately solve the optimal beam pointing of the antenna. Meanwhile, the deployment process of jamming sources is reconstructed to match the characteristics of directional antennas. Furthermore, a combined omnidirectional-directional antenna jamming mode is designed, employing a sequential selection strategy to integrate the advantages of both antennas types. Simulation results show that the proposed method can reduce the number of jamming sources by 34.62% to 65.63% compared with the omnidirectional antenna scheme on the premise of achieving approximately 95% of the target jamming coverage. The combined omnidirectional-directional mode further reduces the number of jamming sources by 20% to 50% relative to the purely directional solution. Moreover, the higher the antenna gain, the more significant the deployment scale optimization. At the same time, it significantly reduces signal overlap redundancy, improving energy utilization efficiency and deployment concealment.

Key words: directional antenna, Euclidean clustering, distribute suppression jamming, satellite navigation, viewshed analysis

CLC Number: