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Maneuver Optimization for Synthetic Aperture based DOA estimation of GNSS Jammers

机译:基于合成孔径的GNSS干扰器DOA估计的机动优化

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GNSS denial via jamming is a low skilled attack which can be performed by nearly anyone using tools which are readily available through the online marketplace. Methods of jammer mitigation such as beamforming or other active methodologies require an estimation of the location of the jamming signal source. There is interest in developing systems which can be used to identify and locate the sources of broadcast signals, either for the purposes of augmenting mitigation or for the purposes of taking direct action to eliminate the sources of jamming signals. One way that such localization systems might be deployed is on rotor-wing aircraft which may be utilized to perform synthetic aperture direction of arrival (SA-DOA). In this contribution we propose a methodology for identifying circular maneuver trajectories which minimize the estimation error of performing SA-DOA using such a platform.
机译:通过干扰进行GNSS拒绝是一种低技能的攻击,几乎任何人都可以使用可通过在线市场轻松获得的工具来执行。减轻干扰的方法,例如波束成形或其他主动方法,需要估计干扰信号源的位置。人们对开发系统感兴趣,该系统可用于识别和定位广播信号的来源,以增强缓解作用或采取直接行动消除干扰信号的来源。这样的定位系统可以被部署的一种方式是在旋翼飞机上,其可以被用来执行合成孔径到达方向(SA-DOA)。在这一贡献中,我们提出了一种用于识别圆形机动轨迹的方法,该方法可以最小化使用这种平台执行SA-DOA的估计误差。

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