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Long Range, Low SWaP-C FMCW Radar
IEEE Journal of Selected Topics in Signal Processing ( IF 7.5 ) Pub Date : 2021-03-17 , DOI: 10.1109/jstsp.2021.3066887
William A. Lies , Lakshay Narula , Peter A. Iannucci , Todd Humphreys

A method is developed, analyzed, and tested to adapt low-cost, automotive-grade radar chipsets for long-range sensing. These disruptive chipsets offer impressive performance at low size, weight, power, and cost (SWaP-C) that could benefit applications with tight SWaP-C budgets such as urban air mobility and urban air logistics. The short range of these radars currently prevents their deployment in long-range applications, so this paper employs extended measurement intervals coupled with sophisticated motion modeling and signal processing to significantly extend their range. After deriving the optimal maximum likelihood estimator, the paper presents suboptimal, more efficient techniques for target range estimation that are robust to target motion uncertainty. These techniques are validated in simulation and demonstrated via experiment. The results show that low SWaP-C radar chipsets are capable of operating at low SNR to perform long-range sensing when augmented with this paper's motion modeling and signal processing techniques. This potent combination of low SWaP-C hardware and advanced signal processing will drive innovation in urban air mobility, urban air logistics, and other areas in need of long-range sensing.

中文翻译:

长距离、低 SWaP-C FMCW 雷达

开发、分析和测试了一种方法,使低成本的汽车级雷达芯片组适用于远程传感。这些颠覆性的芯片组以低尺寸、重量、功率和成本 (SWaP-C) 提供令人印象深刻的性能,可以使 SWaP-C 预算紧张的应用受益,例如城市空中交通和城市空中物流。这些雷达的短距离目前阻碍了它们在远程应用中的部署,因此本文采用扩展的测量间隔以及复杂的运动建模和信号处理来显着扩展它们的范围。在推导出最优最大似然估计器之后,本文提出了对目标运动不确定性具有鲁棒性的次优的、更有效的目标距离估计技术。这些技术在模拟中得到验证,并通过实验得到证明。结果表明,当使用本文的运动建模和信号处理技术进行增强时,低 SWaP-C 雷达芯片组能够在低 SNR 下运行以执行远程感测。这种低 SWaP-C 硬件和先进信号处理的有效组合将推动城市空中交通、城市空中物流和其他需要远程传感领域的创新。
更新日期:2021-03-17
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