Performance of a broad-band acoustic Doppler current profiler

IF 5.6 2区 工程技术 Q1 ENGINEERING, CIVIL
B.H. Brumley;R.G. Cabrera;K.L. Deines;E.A. Terray
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引用次数: 160

Abstract

A new broadband acoustic Doppler current profiler (ADCP) is described, with a useful range comparable to that of a commercially available narrowband (incoherent) system of the same acoustic frequency, but having enhanced performance. The extra performance may be traded off among (1) reduced velocity variance, (2) reduced averaging time, and (3) finer depth resolution. This improvement permits the observation of phenomena with smaller time and space scales than is now possible with available ADCPs. An expression predicting r.m.s. velocity error in terms of system parameters and the measured acoustic data is given and is shown to be consistent with the independently measured velocity error among redundant beams. Two major sources of bias error in incoherent ADCPs are shown to be much reduced for the broadband system. Field data demonstrating the improved performance over the existing incoherent ADCP are shown for cases of both strong and weak shear.< >
宽带声学多普勒电流剖面仪的性能
描述了一种新的宽带声学多普勒电流轮廓仪(ADCP),其有用范围与相同声学频率的商用窄带(非相干)系统的有用范围相当,但具有增强的性能。额外的性能可以在(1)减少的速度变化、(2)减少的平均时间和(3)更精细的深度分辨率之间进行权衡。这种改进允许以比现在可用的ADCP更小的时间和空间尺度来观察现象。给出了根据系统参数和测量的声学数据预测r.m.s.速度误差的表达式,该表达式与冗余波束之间独立测量的速度误差一致。对于宽带系统,非相干ADCP中的两个主要偏置误差源被证明大大降低。现场数据表明,在强剪切和弱剪切的情况下,与现有的非相干ADCP相比,性能有所改善>;
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来源期刊
IEEE Journal of Oceanic Engineering
IEEE Journal of Oceanic Engineering 工程技术-工程:大洋
CiteScore
9.60
自引率
12.20%
发文量
86
审稿时长
12 months
期刊介绍: The IEEE Journal of Oceanic Engineering (ISSN 0364-9059) is the online-only quarterly publication of the IEEE Oceanic Engineering Society (IEEE OES). The scope of the Journal is the field of interest of the IEEE OES, which encompasses all aspects of science, engineering, and technology that address research, development, and operations pertaining to all bodies of water. This includes the creation of new capabilities and technologies from concept design through prototypes, testing, and operational systems to sense, explore, understand, develop, use, and responsibly manage natural resources.
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