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Low-elevation tracking technique for X-band unmanned aerial vehicle automatic take-off and landing system

机译:X频段无人空中飞行器自动起飞和着陆系统的低升高跟踪技术

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In this study, an automatic take-off and landing system (ATOLS) based on radar guidance was developed to provide day/night, all weather, automatic takeoff and landing for unmanned aerial vehicles (UAVs). The ATOLS contains a ground-based tracking radar subsystem and an airborne transponder subsystem. This X-band tracking radar can provide precise position information for UAV-control operations (transponder mode) and fire-control systems (skin mode). It provides 360 degrees of azimuth coverage and therefore can be employed for navigation applications. Its maximum tracking range is about 17 km and accuracy of altitude measurement is about 1 ft with a 50-ft decision height above ground level. To substantiate the proposed ATOLS system, a differential global positioning system (DGPS) was also developed. When a UAV at a low-elevation angle is detected and tracked by a tracking radar, multipath propagation often leads to the degradation of tracking accuracy or even cause the radar to break track. As a result, it becomes a potential risk to flight safety of the ATOLS guidance and control of UAVs. To overcome this technical difficulty, this paper proposes a solution based on optimization of radar parameters to mitigate the interference from multipath signals. The feasibility of proposed method has been experimentally proven through the flight trials of UAVs. Compared to the conventional low-elevation tracking techniques, the proposed one employs the radar signal processing, and does not consume additional hardware and resources.
机译:在本研究中,开发了一种基于雷达引导的自动起飞和着陆系统(ATOL),为无人机(无人机)提供一天/夜,全天候,自动起飞和降落。 ATOL包含基于地面的跟踪雷达子系统和空中应答器子系统。该X波段跟踪雷达可以为UAV控制操作(应答器模式)和防火系统(皮肤模式)提供精确的位置信息。它提供360度的方位覆盖,因此可以用于导航应用程序。其最大追踪范围约为17公里,高度测量的精度约为1英尺,地面50英尺的判定高度。为了证实提出的ATOLS系统,还开发了差动全球定位系统(DGPS)。当通过跟踪雷达检测和跟踪低升高角度的UAV时,多径传播通常导致跟踪精度的劣化,甚至导致雷达断开轨道。因此,它成为航空航行区域的飞行安全和无人机控制的潜在风险。为了克服这种技术难度,本文提出了一种基于雷达参数优化的解决方案,以减轻多径信号的干扰。通过无人机的飞行试验,所提出的方法的可行性已经通过实验证明。与传统的低升高跟踪技术相比,所提出的一个采用雷达信号处理,并且不会消耗额外的硬件和资源。

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