3D Drone-Based Distributed Beamforming for Enhanced Remote SIGINT Using SMS-EMOA

This paper introduces a drone-based 3D array distributed beamforming technique to enhance SIGINT capabilities. By employing the S-Metric Selection Evolutionary MultiObjective Algorithm (SMS-EMOA), we optimize drone formations to improve beamforming performance. Simulations show that the optimized 3D array significantly enhances directivity and reduces side lobe levels (SLL) compared to conventional arrays, demonstrating its potential for SIGINT applications.

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Published
2024-10-15
DOI
https://doi.org/10.1109/array58370.2024.10880462
Primary Topic
UAV Applications and Optimization
Type
article
Field-Weighted Citation Impact
0.00

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article

3D Drone-Based Distributed Beamforming for Enhanced Remote SIGINT Using SMS-EMOA

Gyungmin Kim, Seon-Kyo Kim, Sihun Jo, Sun‐Phil Nah et al.
UAV Applications and Optimization
article

3D Drone-Based Distributed Beamforming for Enhanced Remote SIGINT Using SMS-EMOA

Gyungmin Kim, Seon-Kyo Kim, Sihun Jo, Sun‐Phil Nah, Cheol-Sun Park, Jae-Won Chang
article en

Abstract

This paper introduces a drone-based 3D array distributed beamforming technique to enhance SIGINT capabilities. By employing the S-Metric Selection Evolutionary MultiObjective Algorithm (SMS-EMOA), we optimize drone formations to improve beamforming performance. Simulations show that the optimized 3D array significantly enhances directivity and reduces side lobe levels (SLL) compared to conventional arrays, demonstrating its potential for SIGINT applications.

Agency for Defense Development (KR)
Agency for Defense Development
Affordable and clean energy
Openalex Percentile: Top 54%
UAV Applications and Optimization
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3D Drone-Based Distributed Beamforming for Enhanced Remote SIGINT Using SMS-EMOA — Gyungmin Kim, Seon-Kyo Kim, et al. · (2024) | TGRS Research Map | TGRS