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Source localization and beamforming

机译:源定位和波束成形

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Distributed sensor networks have been proposed for a wide range ofnapplications. The main purpose of a sensor network is to monitor annarea, including detecting, identifying, localizing, and tracking one ornmore objects of interest. These networks may be used by the military innsurveillance, reconnaissance, and combat scenarios or around thenperimeter of a manufacturing plant for intrusion detection. In othernapplications such as hearing aids and multimedia, microphone networksnare capable of enhancing audio signals under noisy conditions fornimproved intelligibility, recognition, and cuing for camera aiming.nPrevious developments in integrated circuit technology have allowed thenconstruction of low-cost miniature sensor nodes with signal processingnand wireless communication capabilities. These technological advancesnnot only open up many possibilities but also introduce challengingnissues for the collaborative processing of wideband acoustic and seismicnsignals for source localization and beamforming in an energy-constrainedndistributed sensor network. The purpose of this article is to provide annoverview of these issues
机译:已经提出了分布式传感器网络用于广泛的应用。传感器网络的主要目的是监视annarea,包括检测,识别,定位和跟踪一个或多个感兴趣的对象。这些网络可由军事监视,侦察和战斗场景使用,或在制造厂的周边周围用于入侵检测。在助听器和多媒体之类的其他应用中,麦克风网络无法在嘈杂的条件下增强音频信号,从而提高清晰度,识别性和对相机瞄准的提示。n集成电路技术的先前发展已允许构建具有信号处理和无线功能的低成本微型传感器节点。通讯能力。这些技术进步不仅打开了许多可能性,而且还引入了具有挑战性的问题,以便在能量受限的分布式传感器网络中对宽带声信号和地震信号进行协作处理,以进行源定位和波束形成。本文的目的是提供对这些问题的概述

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