Backscattering-enhanced scatterer

• Main Author: Ng, Boon Kiat
• Other Authors: Shen Zhongxiang
• Format: Final Year Project
• Language: English
• Published: 2017
• Subjects: DRNTU::Engineering::Electrical and electronic engineering
• Online Access: http://hdl.handle.net/10356/70978
• Institution: Nanyang Technological University

In the defence industry, it is of paramount importance to be able to maintain as much advantage as possible. This can be achieved through various techniques and strategies such as building up a strong arsenal or maintaining diplomatic ties, however the more pragmatic approach is to exercise precaution and prevention using stealth technology – to be able to execute an action without being detected. While it is important to develop stealth technology, it is even more important to develop technologies to detect enemy stealth technologies. Deceptive techniques or strategies is also an effective way to maintain tactical advantages e.g. a drone can be mistaken by the enemy as a fighter jet if the RCS is large enough. Radar systems have developed tremendously over the years; however, it is still inadequate when it comes to detecting high speed projectiles with small radar cross section (RCS) area such as missiles. The development of stealth technology had grown extensive focused on the reduction of RCS of equipment such as jets and missiles. To effectively achieve high detection rates, it is important to deploy radar systems which can enhance the RCS of targets through a well-developed algorithm, specifically on spherical objects due to the lack of information and existing work. This can be done using 2 techniques, using a conducting sphere with a pair of monopoles and a conducting sphere coated with gradient metasurface. These techniques are verified using conventional backscattering enhancement theories and experimentations in addition to the study of similar techniques applied to thin plates and cylindrical objects respectively. By using ANSYS HFSS and CST MWS, a comprehensive simulation of both techniques is conducted. The technique of monopoles has achieved definitive results while the metasurface gradient technique remains as a conceptual simulation which is improvised and developed based on past results.