Source localization and beamforming
Source localization and beamforming
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DOI：
10.1109/79.985676
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发表时间：
2002-03-01
影响因子：
14.9
通讯作者：
Hudson, RE
中科院分区：
文献类型：
--
作者：
Chen, JC;Yao, K;Hudson, RE
分布式传感器网络具有广泛的应用前景。传感器网络的主要目的是监视一个区域，包括检测、识别、定位和跟踪一个或多个感兴趣的对象。这些网络可以被军方用于监视、侦察和战斗场景，或者围绕制造工厂的周边进行入侵检测。在诸如助听器和多媒体等其他应用中，麦克风网络能够在噪声条件下增强音频信号，以提高可理解性、识别性和提示相机瞄准。先前集成电路技术的发展已经允许构建具有信号处理和无线通信能力的低成本微型传感器节点。这些技术进步不仅开辟了许多可能性，但也为在能量受限的分布式传感器网络中协同处理宽带声学和地震信号以进行源定位和波束形成带来了挑战性问题。本文的目的是概述这些问题。
Distributed sensor networks have been proposed for a wide range of applications. The main purpose of a sensor network is to monitor an area, including detecting, identifying, localizing, and tracking one or more objects of interest. These networks may be used by the military in surveillance, reconnaissance, and combat scenarios or around the perimeter of a manufacturing plant for intrusion detection. In other applications such as hearing aids and multimedia, microphone networks are capable of enhancing audio signals under noisy conditions for improved intelligibility, recognition, and cuing for camera aiming. Previous developments in integrated circuit technology have allowed the construction of low-cost miniature sensor nodes with signal processing and wireless communication capabilities. These technological advances not only open up many possibilities but also introduce challenging issues for the collaborative processing of wideband acoustic and seismic signals for source localization and beamforming in an energy-constrained distributed sensor network. The purpose of this article is to provide an overview of these issues.