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Energy-based source localization via ad-hoc acoustic sensor network

机译:通过临时声学传感器网络进行基于能量的源定位

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In this paper, we investigate the performance characteristics of ad-hoc networks for acoustic sensors for source localization and design resource efficient signal processing algorithms that trade-off performance and complexity. We discuss the performance of location estimators that can be implemented in a distributed setting and compare their performance to the associated Cramer-Rao bound (CRB). As our investigation reveals, signal processing strategies that keep power consumption and communication within the sensor network to acceptable levels can be developed without significantly sacrificing localization accuracy.
机译:在本文中,我们调查了用于声源定位的声传感器自组织网络的性能特征,并设计了在性能和复杂性之间进行权衡的资源高效信号处理算法。我们讨论了可以在分布式设置中实现的位置估算器的性能,并将其性能与关联的Cramer-Rao界限(CRB)进行比较。正如我们的调查显示的那样,可以开发出将功耗和传感器网络内的通信保持在可接受水平的信号处理策略,而不会显着降低定位精度。

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