scholarly journals Radar Cross Section Analysis of Unmanned Combat Aerial Vehicle (UCAV) using FEKO Software

AVIA ◽  
2021 ◽  
Vol 2 (2) ◽  
Author(s):  
J P Sijabat ◽  
T Indriyanto
Keyword(s):  
Cross Section ◽  
Electromagnetic Waves ◽  
Technology Development ◽  
Fast Multipole Method ◽  
Radar Cross Section ◽  
Simulation Software ◽  
Factors Affecting ◽  
Aerial Vehicle ◽  
Computational Resources ◽  
Computational Calculation

Radar technology development encourages each country to develop military aircraft with small Radar Cross Section (RCS) size to bring out stealth behaviour, so that it is not easily detected by the enemy. In designing an airplane, computational methods become one of the best solutions in simulating the behaviour of an aircraft geometry when illuminated by electromagnetic waves. On this study, a calculation simulation of the RCS value was performed using FEKO (FElding bei Körn mit beliebiger Oberfläche) EM Simulation software for unmanned combat aerial vehicles (UCAV). Simulations are carried out in various conditions to find out factors affecting RCS value. These factors were analysed by varying radar frequency, material coating the plane, and methods of computational calculation. The results show that the greater the frequency, the greater the computational resources required as on higher number of mesh, more time needed to run the simulation, and required memory. However, the frequency is not directly proportional to the RCS value of the object. Methods of Momentum (MoM) and Multilevel Fast Multipole Method (MLFMM) perform computation calculations that are more detailed and more accurate comparedto Physical Optic (PO) full-ray tracing

Radar cross-section reduction based on an iterative fast Fourier transform optimized metasurface

2016 ◽  
Vol 30 (18) ◽  
pp. 1650233 ◽  
Author(s):  
Yi-Chuan Song ◽  
Jun Ding ◽  
Chen-Jiang Guo ◽  
Yu-Hui Ren ◽  
Jia-Kai Zhang
Keyword(s):  
Fourier Transform ◽  
Fast Fourier Transform ◽  
Cross Section ◽  
Radar Cross Section ◽  
Simulation Software ◽  
Pattern Synthesis ◽  
Array Pattern ◽  
Unit Cells ◽  
Polarization Insensitive ◽  
Geometry Parameter

A novel polarization insensitive metasurface with over 25 dB monostatic radar cross-section (RCS) reduction is introduced. The proposed metasurface is comprised of carefully arranged unit cells with spatially varied dimension, which enables approximate uniform diffusion of incoming electromagnetic (EM) energy and reduces the threat from bistatic radar system. An iterative fast Fourier transform (FFT) method for conventional antenna array pattern synthesis is innovatively applied to find the best unit cell geometry parameter arrangement. Finally, a metasurface sample is fabricated and tested to validate RCS reduction behavior predicted by full wave simulation software Ansys HFSS[Formula: see text] and marvelous agreement is observed.

A Reshaping Method for Wind Turbine RCS Reduction

2015 ◽  
Vol 764-765 ◽  
pp. 457-461 ◽  
Author(s):  
Shyh Kuang Ueng ◽  
Yao Hong Chan
Keyword(s):  
Wind Turbine ◽  
Cross Section ◽  
Wind Turbines ◽  
Electromagnetic Waves ◽  
Reduction Method ◽  
Radar Cross Section ◽  
Modeling Method ◽  
Test Results ◽  
Wind Turbine Tower

This paper presents a Radar Cross Section (RCS) reduction method for wind turbines. In the proposed method, a reshaping procedure is utilized to generate waves or bumps on the surface of the wind-turbine tower. As the tower is illuminated by electromagnetic waves, the reflected rays are perturbed by the convex structures and the RCS of the wind turbine is decreased. Test results conclude that our modeling method reduces the average RCS values. The scatterings in the directions of the convex structures are significantly declined.

scholarly journals Study of the Radar Cross-Section of Turbofan Engine with Biaxial Multirotor Based on Dynamic Scattering Method

Energies ◽  
2020 ◽  
Vol 13 (21) ◽  
pp. 5802
Author(s):  
Zeyang Zhou ◽  
Jun Huang
Keyword(s):  
Cross Section ◽  
Electromagnetic Scattering ◽  
Radar Cross Section ◽  
Scattering Method ◽  
Turbofan Engine ◽  
Factors Affecting ◽  
Turbofan Engines ◽  
Scattering Characteristic ◽  
Rotor Dynamic ◽  
Dynamic Scattering

With the continuous advancement of rotor dynamic electromagnetic scattering research, the radar cross-section (RCS) of turbofan engines has attracted more and more attention. In order to solve the electromagnetic scattering characteristics of a biaxial multirotor turbofan engine, a dynamic scattering method (DSM) based on dynamic simulation and grid transformation is presented, where the static RCS of the engine and its components is calculated by physical optics and physical theory of diffraction. The results show that the electromagnetic scattering of the engine is periodic when the engine is working stably, while the rotors such as fans and turbines are the main factors affecting the dynamic electromagnetic scattering and the ducts greatly increase the overall RCS level of the engine. The proposed DSM is effective and efficient for studying the dynamic electromagnetic scattering characteristic of the turbofan engine.

Measurement and modelling of the dynamic radar cross‐section of an unmanned aerial vehicle

2017 ◽  
Vol 11 (7) ◽  
pp. 1155-1160 ◽  
Author(s):  
Rudy Guay ◽  
Germain Drolet ◽  
Joey R. Bray
Keyword(s):  
Unmanned Aerial Vehicle ◽  
Cross Section ◽  
Radar Cross Section ◽  
Aerial Vehicle

scholarly journals Application of Compressive Sensing in Solving Monostatic Scattering Problems

2019 ◽  
Vol 2019 ◽  
pp. 1-7 ◽  
Author(s):  
Shui-Rong Chai ◽  
Li-Xin Guo ◽  
Long Li
Keyword(s):  
Compressive Sensing ◽  
Cross Section ◽  
Fast Multipole Method ◽  
Radar Cross Section ◽  
Matrix Equations ◽  
Fast Multipole ◽  
Scattering Problems ◽  
Multipole Method ◽  
The Matrix ◽  
Scattered Fields

In this paper, a new CS-FMM method that conjugates compressive sensing (CS) with the fast multipole method (FMM) is proposed and validated to efficiently solve monostatic scattering from an arbitrary conducting target. The far zone scattered fields are viewed as the signal of interest. CS is introduced to reduce the number of computations. A new set of incident sources has been generated according to CS. By solving the matrix equations under the new set of incident sources and calculating the related far zone scattered fields, the measurements of the aforementioned signal can be derived. Then, the CS inversion is employed to reconstruct the desired monostatic far zone scattered fields by finding the smallest possible ℓ1 norm solution. Monostatic radar cross section (RCS) from several conducting targets is studied by CS-FMM and by the traditional FMM. And the results are compared with each other to illustrate the accuracy and efficiency of the proposed method.

scholarly journals Evaluation of Radar Cross Section in Aerial Operations by using POFACETS for a standard Unmanned Aerial Vehicle (UAV)

2019 ◽  
Vol 8 (10) ◽  
pp. 4629-4633
Keyword(s):  
Unmanned Aerial Vehicle ◽  
Cross Section ◽  
Measurement Techniques ◽  
Radar Cross Section ◽  
Security Threat ◽  
Aspect Angle ◽  
Aerial Vehicle ◽  
Low Altitude ◽  
Surveillance Applications ◽  
Erroneous Data

In military and common applications, radar assumes an exceptionally noteworthy job in exploring the vehicle, recognizing for flying machines, ships and so on. Radar cross section is a measure of a target's ability to reflect radar signals in the direction of the receiver. It is obvious that RCS depends on the shape of the reflecting objects. In this paper, a brief overview of various radars used in surveillance applications and radar cross section (RCS) measurement techniques are presented. The objective of this paper is to illustrate methods for obtaining the Radar Cross Section (RCS) of a typical Unmanned Aerial Vehicle (UAV) for various frequencies in radar bands. UAV technologies have advanced tremendously and are being developed successfully. These features lead UAV to patrol even in civil airspace for civilian applications. These objects operate with small radar cross-section and/or on low altitude which imposes security threat. Keeping this view the RCS of a UAV which are flying in civilian airspace has to be determined drastically for security purposes. Several shapes are considered for the estimation of RCS. The results on the variations of RCS for the above objects as a function of frequency, aspect angle are presented. The POFACETS plays a crucial role and provides the user an easy–to–use GUI that allows the input of all necessary parameters, while preventing erroneous data input and other user errors. In this paper the RCS of sphere, ellipsoid and UAV are determined.

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