首页> 外文期刊>The Journal of the Acoustical Society of America >Active control of passive acoustic fields: Passive synthetic aperture/Doppler beamforming with data from an autonomous vehicle
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Active control of passive acoustic fields: Passive synthetic aperture/Doppler beamforming with data from an autonomous vehicle

机译:主动控制无源声场:无源合成孔径/多普勒波束成形和来自自动驾驶车辆的数据

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The maneuverability of autonomous underwater vehicles (AUVs) equipped with hull-mounted arrays provides the opportunity to actively modify received acoustic fields to optimize extraction of information. This paper uses ocean acoustic data collected by an AUV-mounted two-dimensional hydrophone array, with overall dimension one-tenth wavelength at 200-500 Hz, to demonstrate aspects of this control through vehicle motion. Source localization is performed using Doppler shifts measured at a set of receiver velocities by both single elements and a physical array. Results show that a source in the presence of a 10-dB higher-level interferer having exactly the same frequency content (as measured by a stationary receiver) is properly localized and that white-noise-constrained adaptive beamforming applied to the physical aperture data in combination with Doppler bearnforming provides greater spatial resolution than physical-aperture-alone bearnforming and significantly lower sidelobes than single element Doppler beamforming. A new broadband beamformer that adjusts for variations in vehicle velocity on a sample by sample basis is demonstrated with data collected during a high-acceleration maneuver. The importance of including the cost of energy expenditure in determining optimal vehicle motion is demonstrated through simulation, further illustrating how the vehicle characteristics are an integral part of the signal/array processing structure. (c) 2006 Acoustical Society of America.
机译:装备有船体安装阵列的自动水下航行器(AUV)的机动性提供了主动修改接收到的声场以优化信息提取的机会。本文使用安装在AUV上的二维水听器阵列收集的海洋声学数据(总尺寸为200-500 Hz的十分之一波长)来演示通过车辆运动进行控制的各个方面。使用单个元素和物理阵列在一组接收器速度下测量的多普勒频移来执行源定位。结果表明,在存在一个具有完全相同的频率成分(由固定接收机测量)的10 dB高电平干扰源的情况下,信号源已正确定位,并且白噪声受限的自适应波束成形应用于物理孔径数据。与仅单独使用物理孔径的bearnforming组合使用时,与多普勒bearnforming结合使用可提供更高的空间分辨率,并且比单元素多普勒波束形成可提供更低的旁瓣。演示了一种新的宽带波束成形器,该模型可根据高速度机动过程中收集到的数据对每个样本的车速变化进行调整。通过仿真证明了在确定最佳车辆运动中包括能量消耗成本的重要性,进一步说明了车辆特性如何成为信号/阵列处理结构的组成部分。 (c)2006年美国声学学会。

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