The mobility modeling and the probability density function of the radar cross section for large-scale unmanned aerial vehicle swarms

IF 4 3区计算机科学 Q1 COMPUTER SCIENCE, HARDWARE & ARCHITECTURE

Computers & Electrical Engineering Pub Date : 2025-06-25 DOI:10.1016/j.compeleceng.2025.110484

Mengxia Liu , Shengbo Hu , Qiwei Hu , Tingting Yan , Yanfeng Shi

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引用次数: 0

Abstract

In recent years, the deployment of unmanned aerial vehicle (UAV) swarms in both military and civilian applications has attracted considerable attention. Radar cross section (RCS) of irregular geometry plays a critical role in target detection and tracking. The characteristics of UAV swarms — specifically their low, slow, and small (LSS) characteristics — combined with their spatially high-density random distribution, pose significant challenges for accurately modeling and computing the RCS of large-scale UAV swarms. To address these challenges, this paper investigates the mobility modeling and the probability density function(pdf) of the RCS for large-scale UAV swarms. Firstly, using the twin-satellites model, the mobility modeling of the adjacent UAVs of the UAV swarm is built. Secondly, the spatial pdf of the RCS of large-scale UAV swarms is given. Finally, the effectiveness and rationality of the proposed models are verified. These findings provide a solid theoretical basis for advancing methodologies in UAV swarms detection and tracking.

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大型无人机群机动建模及雷达横截面概率密度函数

近年来，无人机（UAV）群在军事和民用领域的应用备受关注。不规则几何形状的雷达截面在目标探测和跟踪中起着至关重要的作用。无人机蜂群的低、慢、小（LSS）特征及其高密度的空间随机分布，对大规模无人机蜂群RCS的精确建模和计算提出了重大挑战。为了解决这些问题，本文研究了大规模无人机蜂群RCS的机动性建模和概率密度函数。首先，利用双卫星模型，建立了无人机群中相邻无人机的机动性建模；其次，给出了大规模无人机群RCS的空间分布；最后，验证了所提模型的有效性和合理性。这些研究结果为改进无人机蜂群探测与跟踪方法提供了坚实的理论基础。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Computers & Electrical Engineering 工程技术-工程：电子与电气

CiteScore

9.20

自引率

7.00%

发文量

661

审稿时长

47 days

期刊介绍： The impact of computers has nowhere been more revolutionary than in electrical engineering. The design, analysis, and operation of electrical and electronic systems are now dominated by computers, a transformation that has been motivated by the natural ease of interface between computers and electrical systems, and the promise of spectacular improvements in speed and efficiency. Published since 1973, Computers & Electrical Engineering provides rapid publication of topical research into the integration of computer technology and computational techniques with electrical and electronic systems. The journal publishes papers featuring novel implementations of computers and computational techniques in areas like signal and image processing, high-performance computing, parallel processing, and communications. Special attention will be paid to papers describing innovative architectures, algorithms, and software tools.