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用于无人机室内导航的毫米波调频连续波干涉合成孔径雷达的初步研究。

Preliminary study of a millimeter wave FMCW InSAR for UAS indoor navigation.

作者信息

Scannapieco Antonio F, Renga Alfredo, Moccia Antonio

机构信息

Department of Industrial Engineering, University of Naples Federico II, Piazzale Tecchio 80, Naples 80125, Italy.

出版信息

Sensors (Basel). 2015 Jan 22;15(2):2309-35. doi: 10.3390/s150202309.

Abstract

Small autonomous unmanned aerial systems (UAS) could be used for indoor inspection in emergency missions, such as damage assessment or the search for survivors in dangerous environments, e.g., power plants, underground railways, mines and industrial warehouses. Two basic functions are required to carry out these tasks, that is autonomous GPS-denied navigation with obstacle detection and high-resolution 3Dmapping with moving target detection. State-of-the-art sensors for UAS are very sensitive to environmental conditions and often fail in the case of poor visibility caused by dust, fog, smoke, flames or other factors that are met as nominal mission scenarios when operating indoors. This paper is a preliminary study concerning an innovative radar sensor based on the interferometric Synthetic Aperture Radar (SAR) principle, which has the potential to satisfy stringent requirements set by indoor autonomous operation. An architectural solution based on a frequency-modulated continuous wave (FMCW) scheme is proposed after a detailed analysis of existing compact and lightweight SAR. A preliminary system design is obtained, and the main imaging peculiarities of the novel sensor are discussed, demonstrating that high-resolution, high-quality observation of an assigned control volume can be achieved.

摘要

小型自主无人机系统(UAS)可用于紧急任务中的室内检查,如在危险环境(如发电厂、地下铁路、矿山和工业仓库)中进行损害评估或搜寻幸存者。执行这些任务需要两项基本功能,即具备障碍物检测功能的自主全球定位系统(GPS)受限导航以及具备移动目标检测功能的高分辨率三维测绘。无人机系统的现有传感器对环境条件非常敏感,在室内作业时,遇到灰尘、雾气、烟雾、火焰或其他因素导致能见度不佳的情况(这些都是正常任务场景中会遇到的)时,往往会失效。本文是关于一种基于干涉合成孔径雷达(SAR)原理的创新型雷达传感器的初步研究,该传感器有潜力满足室内自主操作所设定的严格要求。在对现有的紧凑型轻量化合成孔径雷达进行详细分析之后,提出了一种基于调频连续波(FMCW)方案的架构解决方案。获得了初步的系统设计,并讨论了新型传感器的主要成像特性,表明可以实现对指定控制体积的高分辨率、高质量观测。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f8d9/4367307/9e7db09154fa/sensors-15-02309f1.jpg

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