基于雷达的微型飞行器探测与识别

Allistair Moses, M. Rutherford, K. Valavanis
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引用次数: 77

摘要

据称,用于民用/公共领域应用的无人驾驶飞行器(uav)将在不久的将来占据主导地位。与军用无人机相比,民用无人机通常由未经正式培训的飞行员操作,因此它们需要更高水平的自主性和智能,特别是在减少对公共安全的威胁方面。无人机集成到国家空域将要求无人机支持多种互补的感知和避免机制,包括探测和识别其他无人机大小的目标。目前,大多数可用的传感器是基于红外探测器,焦平面阵列,光学和超声波测距仪。这些传感器通常不能探测或识别其他uav大小的目标,并且,当探测成为可能时,成功识别可能需要相当大的计算能力。相比之下,本文描述了用于小型(< 25公斤)旋翼飞机的轻型x波段(10.5GHz)雷达系统的设计。原型雷达实现足够小,可以由任何微型无人机携带,并且它能够通过它们的多普勒特征区分其他微型旋翼飞机。除了原型系统的整体硬件和软件设计外,还介绍了各种签名匹配算法的性能分析,展示了系统在实验室环境中的能力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Radar-based detection and identification for miniature air vehicles
It is claimed that Unmanned Aerial Vehicles (UAVs) used for civilian/public domain applications will be dominant in the near future. Compared to UAVs used by the military, civilian UAVs are often operated by pilots without formal training, and hence they require increased levels of autonomy and intelligence, especially with regard to reducing threats to public safety. UAV integration into the National Air Space will require that the UAVs support multiple, complementary sense-and-avoid mechanisms, including detection and identification of other UAV-sized targets. Currently, the majority of available sensors are based on infrared detectors, focal plane arrays, optical and ultrasonic rangefinders. These sensors are generally not able to detect or identify other UAV-sized targets and, when detection is possible, considerable computational power may be required for successful identification. By contrast, this paper describes the design of a light weight, X-Band (10.5GHz) radar system for use on a small-scale (< 25 kg) rotorcraft. The prototype radar implementation is small enough to be carried by any miniature UAV, and it is capable of differentiating other miniature rotorcraft by their doppler signature. In addition to the overall hardware and software design of the prototype system, a performance analysis of various signature matching algorithms is presented demonstrating the capabilities of the system in a laboratory setting.
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