Fast post-Doppler STAP with road map for traffic monitoring: overview and first results

IF 0.6 Q4 ENGINEERING, ELECTRICAL & ELECTRONIC Advances in Radio Science Pub Date : 2019-09-19 DOI:10.5194/ars-17-137-2019
A. B. C. da Silva, S. Baumgartner, A. Moreira
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引用次数: 1

Abstract

Abstract. Synthetic aperture radar (SAR) is an efficient solution for road traffic monitoring due to its high spatial resolution and independence from daylight and weather conditions. In this sense, a number of ground moving target indication (GMTI) algorithms have been developed, whereas their robustness is often achieved with high costs, increased hardware complexity and high computational burden. This paper presents a fast GMTI processor that blends the powerful post-Doppler space-time adaptive processing (PD STAP) with an a priori known road map and digital elevation model (DEM). The algorithm presents great potential for real-time processing, decreased hardware complexity and low costs compared to state-of-the-art systems. It is tested using real 4-channel X-band radar data acquired with the DLR's airborne F-SAR.
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具有交通监测路线图的快速多普勒后STAP:概述和初步结果
摘要合成孔径雷达(SAR)由于其高空间分辨率和独立于日光和天气条件,是道路交通监测的有效解决方案。从这个意义上说,已经开发了许多地面移动目标指示(GMTI)算法,而它们的鲁棒性通常是通过高成本、增加的硬件复杂性和高计算负担来实现的。本文提出了一种快速GMTI处理器,该处理器将强大的后多普勒时空自适应处理(PD-STAP)与先验已知的路线图和数字高程模型(DEM)相结合。与最先进的系统相比,该算法在实时处理、降低硬件复杂性和降低成本方面具有巨大潜力。利用德国航空航天中心机载F-SAR获得的真实4通道X波段雷达数据对其进行了测试。
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来源期刊
Advances in Radio Science
Advances in Radio Science ENGINEERING, ELECTRICAL & ELECTRONIC-
CiteScore
0.90
自引率
0.00%
发文量
3
审稿时长
45 weeks
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