Integrated sensor detection/localization for multi-source data
Date of Original Version
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. © 2014 IEEE.
Publication Title, e.g., Journal
IEEE National Radar Conference - Proceedings
Kay, Steven, and Fuat Cogun. "Integrated sensor detection/localization for multi-source data." IEEE National Radar Conference - Proceedings (2014): 708-711. doi: 10.1109/RADAR.2014.6875682.