Low Radar Cross Section UAV Design in X-Band

Dizdar Ünalir, Sila Sezgin, Cansu Sena Yuva, Bengisu Yalçinkaya Gökdoğan, Elif Aydin
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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.
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x波段低雷达截面无人机设计
随着无人机在国防工业中的广泛应用,探测无人机的雷达技术也在不断提高。这些改进使无人机更容易被探测到,这限制了它们在军事用途上的有效性。虽然减小雷达截面(RCS)可以解决这一问题,但文献中对此的研究不足。在本研究中,提出了一种减小无人机RCS的整形方法,并证明了该方法的有效性。首先,利用仿真工具,从简单形状出发设计无人机模型,并与文献模型进行对比验证。其次,使用CST Studio Suite环境,通过在x波段增加1度的纵横偏振度,在360度范围内测量RCS值。然后,考虑到无人机模型的硬件和气动要求,以及无人机模型的局限性,对无人机模型的机身、腿和空心部分进行了参数化仿真。结果表明,所推荐的整形技术可以显著降低无人机的RCS。
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