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基于 GNSS 的无源雷达中结合目标运动补偿和检测前跟踪策略的舰船目标检测的实验演示。

Experimental Demonstration of Ship Target Detection in GNSS-Based Passive Radar Combining Target Motion Compensation and Track-before-Detect Strategies.

机构信息

Department of Information Engineering, Electronics and Telecommunications, Sapienza University of Rome, 00184 Rome, Italy.

Sympas S.r.l., 00192 Rome, Italy.

出版信息

Sensors (Basel). 2020 Jan 21;20(3):599. doi: 10.3390/s20030599.

Abstract

This work discusses methods and experimental results on passive radar detection of moving ships using navigation satellites as transmitters of opportunity. The reported study highlights as the adoption of proper strategies combining target motion compensation and track-before-detect methods to achieve long time integration can be fruitfully exploited in GNSS-based passive radar for the detection of maritime targets. The proposed detection strategy reduces the sensitivity of long-time integration methods to the adopted motion models and can save the computational complexity, making it appealing for real-time implementations. Experimental results obtained in three different scenarios (port operations, navigation in open area, and river shipping) comprising maritime targets belonging to different classes show as this combined approach can be employed with success in several operative scenarios of practical interest for this technology.

摘要

本工作讨论了利用导航卫星作为机会发射机进行动目标无源雷达探测的方法和实验结果。所报道的研究强调,采用适当的策略,结合目标运动补偿和检测前跟踪方法,实现长时间积分,在基于 GNSS 的无源雷达中对海上海盗船目标的检测是非常有效的。所提出的检测策略降低了所采用的运动模型对长时间积分方法的灵敏度,并可以节省计算复杂度,因此非常适合实时实现。在三个不同场景(港口作业、开阔区域航行和内河航运)中获得的实验结果包含不同类别的海上海盗船目标,表明这种组合方法可以成功应用于该技术的几个实际应用场景。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2de5/7037432/0c297a85a8bd/sensors-20-00599-g001.jpg

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