On localizing the source of random signals using sensor networks

Ashok Sundaresan, P. Varshney, N. Rao
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引用次数: 3

Abstract

The problem of source localization using a network of sensors is considered. A maximum likelihood estimation (MLE) based approach is adopted. The measurements received at the sensors due to the random phenomenon are spatially correlated and are characterized by a multivariate distribution. Using the theory of copulas, the joint parametric density of sensor observations is obtained assuming only the knowledge of their marginal densities. An example showing the efficiency of the proposed approach is presented.
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基于传感器网络的随机信号源定位研究
研究了利用传感器网络进行源定位的问题。采用了基于极大似然估计(MLE)的方法。由于随机现象,传感器接收到的测量值是空间相关的,并具有多元分布的特征。利用copula理论,在只知道传感器观测值的边缘密度的前提下,得到传感器观测值的联合参数密度。最后给出了一个算例,说明了该方法的有效性。
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