Adaptive Communications with Swarm Aperture

M. Hedayati, J. Diao, Y. Wang
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引用次数: 3

Abstract

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.
基于群孔径的自适应通信
利用移动平台,如一群机载微型无人机,进行分布式传感和通信,已经探索了十多年。无人机部件的定位和同步是限制其实际应用的主要挑战。本文基于自适应波束形成和频率分集无线互联的概念,解决了定位和同步的难题。该技术是(1)在不经过解调/重调过程的情况下,将群平台设置为射频延迟最小的RF中继节点,将从远距离(许可频带)基站接收到的信号重新传输到公共的、靠近(2)的终端(未授权频带)的辅助接收机采用自适应波束形成算法来补偿射频电路中元件之间的延迟差异以及由于元件位置不同而导致的传播路径中的延迟差异。用双元波束形成阵列实验验证了所提出的概念。这种波束形成方法已被证明可以提高信噪比。提出的系统架构为未来无线传感和通信系统开发实用的蜂群无人机提供了机会。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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