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相关实验视频

Updated: Jul 23, 2025

Evaluating Targeting Accuracy in the Focal Plane for an Ultrasound-guided High-intensity Focused Ultrasound Phased-array System

Evaluating Targeting Accuracy in the Focal Plane for an Ultrasound-guided High-intensity Focused Ultrasound Phased-array System

Published on: March 6, 2019

无人机的近场光束形成算法

Yinan Zhang¹, Guangxue Wang¹, Shirui Peng¹

¹Department of Information Countermeasures, Air Force Early Warning Academy, Wuhan 430010, China.

Sensors (Basel, Switzerland)

|July 14, 2023

概括

本研究介绍了无人飞行器 (UAV) 阵列的三种束形算法,以克服定位和相位错误. 这些方法提高了近场光束成形性能,尽管具有挑战性的条件.

科学领域:

信号处理信号处理
阵列信号处理阵列信号处理
航空航天工程航空航天工程

背景情况:

无人驾驶飞行器 (UAV) 阵列由于定位和信号相位错误,尤其是在近场条件下,在光束形成方面面临重大挑战.
有效的光束成形对于各种无人机应用至关重要,包括传感,通信和导航.

研究的目的:

开发和验证用于无人机阵列的新型分布式束形算法,以减轻定位和信号相位错误的影响.
为在不同的环境和导航数据可用性下运行的无人机系统中提供强大的近场光束成型解决方案.

主要方法:

对近场条件下的无人机阵列接收信号相位错误模型的分析.
开发了三种光束成形算法:基于扩展卡尔曼波器 (EKF) (没有导航数据),基于卡尔曼波器 (KF) (具有导航数据和泰勒扩展),以及基于无气味卡尔曼波器 (UKF) (代噪声估计).
基于模拟的拟议算法的验证,以评估它们在消除错误方面的性能.

主要成果:

拟议的基于EKF,KF和UKF的算法有效地抑制了近场无人机阵列光束形成中的定位和信号相位错误的不利影响.
这些算法在不同的条件下显示出稳定性,包括导航数据的可用性或缺失.
模拟证实了开发的梁成型技术所提供的实际应用性和性能改进.

关键词:

扩展卡尔曼波器扩展卡尔曼波器卡尔曼过器的使用无人机无人驾驶飞行器 (UAV) 是一种无人机.没有香味的卡尔曼过器形成近场光束的近场光束阶段错误补偿阶段错误补偿

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结论:

该研究成功地介绍了为无人机阵列量身定制的三种先进的分布式束形算法.
这些算法通过有效处理定位和相位错误,为近场应用提供了光束成形精度和可靠性的显著改进.
这些发现提供了有价值的见解和实用参考,用于在现实场景中实施无人机阵列光束成形.