Low SWaP-C Radar for Urban Air Mobility

William A. Lies, Lakshay Narula, Peter A. Iannucci, T. Humphreys
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引用次数: 2

Abstract

A method is developed and tested for extending the range of low-cost radar chipsets for use in urban air mobility (UAM) vehicles. The method employs weak-signal correlation techniques and long measurement intervals to achieve a 1 km range. Low-cost radar is an enabling technology for vertical take-off and landing (VTOL) aircraft envisioned for large-scale deployment in urban areas. These aircraft must be autonomously piloted to make them economically feasible, but autonomous systems have yet to match a human pilot's ability to detect and avoid (DAA) obstacles. Visible light cameras are useful for this application, but cameras alone are insufficient, as they are fundamentally unable to resolve range. Existing commercial radar units would suffice for DAA, but their large size weight, power, and cost (SWaP-C) militates against their application to UAM. The technique detailed in this paper is a fused camera-radar solution that exploits the camera's excellent angular resolution to guide radar signal processing so that signals arriving from a camera-detected target are combined constructively. Such guided processing significantly extends the range of low SWaP-C radar chipsets, making them useful for DAA. An analysis of the fused technique's robustness to target velocity uncertainty is presented, along with experimental results indicating that a typically-sized VTOL aircraft would be detectable at a range of 1 km.
用于城市空中机动的低SWaP-C雷达
开发并测试了一种方法,用于扩展用于城市空中交通(UAM)车辆的低成本雷达芯片组的范围。该方法采用弱信号相关技术和较长的测量间隔,可实现1公里的测量距离。低成本雷达是垂直起降(VTOL)飞机在城市地区大规模部署的一项使能技术。为了使这些飞机在经济上可行,它们必须自动驾驶,但自动驾驶系统还没有达到人类飞行员探测和避开障碍物(DAA)的能力。可见光相机对这种应用是有用的,但相机本身是不够的,因为它们根本无法解决范围。现有的商用雷达单元对于DAA来说已经足够了,但是它们的大尺寸重量、功率和成本(SWaP-C)阻碍了它们在UAM中的应用。本文详细介绍的技术是一种融合的摄像机-雷达解决方案,利用摄像机良好的角度分辨率来指导雷达信号处理,使来自摄像机检测到的目标的信号被建设性地组合起来。这种引导处理显着扩展了低SWaP-C雷达芯片组的范围,使其对DAA有用。分析了融合技术对目标速度不确定性的鲁棒性,同时实验结果表明,在1公里范围内可以检测到典型尺寸的垂直起降飞机。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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