集成传感器检测/定位多源数据

S. Kay, Fuat Çogun
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引用次数: 1

摘要

本文研究了基于射频和红外数据源的目标检测/定位问题。假设目标向空间中广泛分布的多个传感器辐射射频信号,并使用红外传感器的多帧成像。目标是整合射频和红外数据,以可靠地检测和定位目标。采用广义似然比检验(GLRT)方法寻找检测器。为了减少直接GLRT所需的计算量,采用了随机基函数(RBF)方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Integrated sensor detection/localization for multi-source data
In this paper, the detection/localization of a target based on radio-frequency (RF) and infra-red (IR) data sources problem is addressed. The target is assumed to radiate an RF signal to multiple widely distributed sensors in space and is imaged using multiple frames of an IR sensor. The goal is to integrate RF and IR data to reliably detect and localize the target. The generalized likelihood ratio test (GLRT) approach is employed to find the detector. In order to reduce the computation required by a straightforward GLRT, the random basis function (RBF) approach is used.
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