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针对皮拉图斯PC - 12飞机的数字视频广播 - 地面传输(DVB - T)无源雷达双基地雷达散射截面(RCS)模拟值与测量值的比较

Comparison of DVB-T Passive Radar Simulated and Measured Bistatic RCS Values for a Pilatus PC-12 Aircraft.

作者信息

Speirs Peter J, Ummenhofer Martin, Schüpbach Christof, Renker Matthias, Wellig Peter, Cristallini Diego, O'Hagan Daniel W, Kohler Michael, Murk Axel

机构信息

Institute of Applied Physics, University of Bern, 3012 Bern, Switzerland.

Fraunhofer FHR, Fraunhofer Institute for High Frequency Physics and Radar Techniques, Fraunhoferstr. 20, 53343 Wachtberg, Germany.

出版信息

Sensors (Basel). 2022 Apr 3;22(7):2766. doi: 10.3390/s22072766.

Abstract

Passive radar is a technology that has huge potential for airspace monitoring, taking advantage of existing transmissions. However, to predict whether particular targets can be measured in a particular scenario, it is necessary to be able to model the received signal. In this paper, we present the results of a campaign in which a Pilatus PC-12 single-engine aircraft was measured with a passive radar system relying on DVB-T transmission from a single transmitter. We then present our work to simulate the bistatic RCS of the aircraft along its flight track, using both the method of moments and the shooting and bouncing ray solvers, assess the uncertainty in the simulations, and compare against the measurements. We find that our simulated RCS values are useful in predicting whether or not detection occurs. However, we see poor agreement between simulated and measured RCS values where measurements are available, which we attribute primarily to the difficulties in extracting RCS measurements from the data and to unmodeled transmission and received path effects.

摘要

无源雷达是一种利用现有发射信号,在空域监测方面具有巨大潜力的技术。然而,要预测在特定场景下是否能够测量特定目标,就必须能够对接收到的信号进行建模。在本文中,我们展示了一项测量活动的结果,在该活动中,使用一个依赖于来自单个发射机的DVB - T传输的无源雷达系统对一架皮拉图斯PC - 12单引擎飞机进行了测量。然后,我们介绍了我们的工作,即使用矩量法和射击弹跳射线求解器来模拟飞机沿其飞行轨迹的双基地雷达散射截面(RCS),评估模拟中的不确定性,并与测量结果进行比较。我们发现,我们模拟的RCS值对于预测是否能实现检测很有用。然而,在有测量数据的地方,我们发现模拟的RCS值与测量值之间的一致性较差,我们主要将其归因于从数据中提取RCS测量值的困难以及未建模的传输和接收路径效应。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/683c/9003249/a1759f295df7/sensors-22-02766-g006.jpg

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