A power-distribution joint optimization arrangement for multi-point source jamming system

• Establishment of the MPSJ system spatial geometric relationship • Derivation of the triplet antenna equivalent synthesis center distribution law • Modeling of a power-distribution joint optimization model • Proposition of a MOTPSO algorithm • Obtention of the optimal array and the best jamming power Increasing the jamming power while expanding the distribution area of the equivalent synthesis center increases the risk of the multi-point source jamming (MPSJ) system being detected by the monopulse radar. In order to achieve the optimal balance between the two, this paper proposes a power-distribution joint optimization arrangement for the MPSJ system. First, the geometric relationship distribution between the triplet antenna and the target is determined to derive the distribution law of the equivalent synthesis center of the triplet antenna. Second, a power-distribution joint optimization model based on jamming power and the area of the equivalent synthesis center distribution area is constructed by introducing the angle factor. Third, a multi-objective time-varying mapping particle swarm optimization (MOTPSO) algorithm is adopted to solve the model, thereby achieving the optimal arrangement. The experimental results show that when the jamming signal ratio is 13.87 dB, the equilateral triangle array can achieve the optimal balance between jamming power and the distribution area of the equivalent synthesis center. Comparative experiments show that the proposed method improves the uniformity of the solution set distribution by 40.84% on average and the computational efficiency by 85.02% on average.

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Publication Details

Journal
Results in Engineering
Published
2025-08-20
DOI
https://doi.org/10.1016/j.rineng.2025.106856
Citations
5
Primary Topic
Energy Harvesting in Wireless Networks
Type
article
Field-Weighted Citation Impact
3.65

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article

A power-distribution joint optimization arrangement for multi-point source jamming system

Sinong Quan, Zhihao Cai, Junpeng Wang, Shiqi Xing et al.
5 citations
Results in Engineering
Energy Harvesting in Wireless Networks
3.65
article

A power-distribution joint optimization arrangement for multi-point source jamming system

Sinong Quan, Zhihao Cai, Junpeng Wang, Shiqi Xing, Xinyuan Su
article en
5 citations

Abstract

• Establishment of the MPSJ system spatial geometric relationship • Derivation of the triplet antenna equivalent synthesis center distribution law • Modeling of a power-distribution joint optimization model • Proposition of a MOTPSO algorithm • Obtention of the optimal array and the best jamming power Increasing the jamming power while expanding the distribution area of the equivalent synthesis center increases the risk of the multi-point source jamming (MPSJ) system being detected by the monopulse radar. In order to achieve the optimal balance between the two, this paper proposes a power-distribution joint optimization arrangement for the MPSJ system. First, the geometric relationship distribution between the triplet antenna and the target is determined to derive the distribution law of the equivalent synthesis center of the triplet antenna. Second, a power-distribution joint optimization model based on jamming power and the area of the equivalent synthesis center distribution area is constructed by introducing the angle factor. Third, a multi-objective time-varying mapping particle swarm optimization (MOTPSO) algorithm is adopted to solve the model, thereby achieving the optimal arrangement. The experimental results show that when the jamming signal ratio is 13.87 dB, the equilateral triangle array can achieve the optimal balance between jamming power and the distribution area of the equivalent synthesis center. Comparative experiments show that the proposed method improves the uniformity of the solution set distribution by 40.84% on average and the computational efficiency by 85.02% on average.

Results in EngineeringVol. 27
National University of Defense Technology (CN)
National Natural Science Foundation of China
Affordable and clean energy
Openalex Percentile: Top 7%
Energy Harvesting in Wireless Networks
3.65
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A power-distribution joint optimization arrangement for multi-point source jamming system — Sinong Quan, Zhihao Cai, et al. · Results in Engineering (2025) | TGRS Research Map | TGRS