Title :
Integrated sensor detection/localization for multi-source data
Author :
Kay, Steven ; Cogun, Fuat
Author_Institution :
Dept. of Electr., Comput. & Biomed. Eng., Univ. of Rhode Island, Kingston, RI, USA
Abstract :
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.
Keywords :
distributed sensors; infrared detectors; object detection; signal detection; GLRT; IR sensor; RBF; distributed sensors; generalized likelihood ratio test; integrated sensor detection-localization; random basis function approach; target detection; target localisation; Atmospheric modeling; Data models; Detectors; Maximum likelihood estimation; Noise; RF signals; Radio frequency;
Conference_Titel :
Radar Conference, 2014 IEEE
Conference_Location :
Cincinnati, OH
Print_ISBN :
978-1-4799-2034-1
DOI :
10.1109/RADAR.2014.6875682