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Adaptive Communications with Swarm Aperture

机译:具有群孔径的自适应通信

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Utilizing mobile platforms such as a swarm of airborne mini-drones for distributed sensing and communications has been explored for more than one decade. Localization and synchronization of drone elements are the main challenges limiting its practical applications. In this paper, the localization and synchronization challenge is circumvented based on the concept of adaptive beamforming and wireless interconnect through frequency diversity. The technique is to (1) set up the swarm platforms as RF relay nodes that has minimum RF delay without going through the demodulation/remodulation process, while re-transmits the signal received from the base station at a long distance away (licensed band) to a common, secondary receiver at the terminal (unlicensed band) which is at proximity (2) apply adaptive beamforming algorithms to compensate for the delay difference among the elements in RF circuitry and in propagation paths caused by the different element positions. A two-element beamforming array uses to experimentally demonstrate the proposed concept. Improved signal to noise ratio has been demonstrated with such beamforming approach. The proposed system architecture provides an opportunity to develop practical swarm-drone for future wireless sensing and communication systems.
机译:十多年来,人们一直在探索利用移动平台(例如,机载微型无人机群)进行分布式传感和通信。无人机元件的本地化和同步是限制其实际应用的主要挑战。在本文中,基于自适应波束成形和通过频率分集的无线互连的概念,克服了定位和同步挑战。该技术是(1)将群体平台设置为RF中继节点,它具有最小的RF延迟,而无需经过解调/重新调制过程,而在很长的距离(许可频段)上重发从基站接收的信号在接近(2)的终端(非许可频段)的公共辅助接收器上,应用自适应波束成形算法来补偿RF电路中的元素之间以及由于元素位置不同而导致的传播路径中的延迟差异。两元素波束成形阵列用于实验性地证明了所提出的概念。已经用这种波束形成方法证明了改善的信噪比。所提出的系统架构为未来的无线传感和通信系统开发实用的群虫无人机提供了机会。

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