Low Radar Cross Section Uav Design in X-Band

Loading...
Publication Logo

Date

2022

Journal Title

Journal ISSN

Volume Title

Publisher

Ieee

Open Access Color

Green Open Access

No

OpenAIRE Downloads

OpenAIRE Views

Publicly Funded

No
Impulse
Average
Influence
Average
Popularity
Average

Research Projects

Journal Issue

Abstract

As Unmanned Aerial Vehicles (UAVs) have become widespread in defense industry, the radar technology that can detect them has also improved. These improvements cause UAVs to be detected more easily, which limits their effectiveness in military usage. Although the reduction of the radar cross-section (RCS) can provide a solution to this issue, the studies regarding that is insufficient in the literature. In this study, a shaping method is recommended to reduce the RCS of UAVs, and it is shown the method is effective to address the problem. Firstly, using a simulation tool, an UAV model is designed from simple shapes and the model is validated by comparing it with the ones in literature. Secondly, RCS values are measured using vertical and horizontal polarization throughout 360 degrees by incrementing the aspect angle by one degree in X-Band using the CST Studio Suite environment. Then, considering the hardware and aerodynamic requirements as well as limitations of the UAV model, a shaping technique is applied to the body, legs and the hollow parts of the UAV model with parametric simulations. The results show that the recommended shaping technique can provide a significant reduction in the RCS of an UAV.

Description

Keywords

UAV, unmanned aerial vehicle, radar cross section, RCS reduction, X-Band

Fields of Science

0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Citation

WoS Q

Scopus Q

OpenCitations Logo
OpenCitations Citation Count
3

Source

30th IEEE Signal Processing and Communications Applications Conference (SIU) -- MAY 15-18, 2022 -- Safranbolu, TURKEY

Volume

Issue

Start Page

End Page

Collections

PlumX Metrics
Citations

Scopus : 5

Captures

Mendeley Readers : 4

SCOPUS™ Citations

5

checked on Feb 15, 2026

Web of Science™ Citations

2

checked on Feb 15, 2026

Page Views

4

checked on Feb 15, 2026

Google Scholar Logo
Google Scholar™
OpenAlex Logo
OpenAlex FWCI
0.97235453

Sustainable Development Goals

SDG data is not available