Expert reasoning based improvements to the GLRT

This paper builds on the ideas presented in [1] and [2] to create a more robust Space-Time Adaptive Processing (STAP) system. Through the use of extensive knowledge bases, circular SAR registration, and expert reasoning, the system has been shown to increase the detection performance in non-homogene...

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Bibliographic Details
Main Authors: Alfaysale, Nihad, Aljohani, Mansour, Burwell, Alex, Lin, Ethan, Wetzel, Daniel, Wicks, Michael C.
Format: Conference Proceeding
Language:English
Subjects:
Clutter
Cognition
Covariance matrices
Estimation
Synthetic aperture radar
Training data
Online Access:Request full text
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Description
Summary:This paper builds on the ideas presented in [1] and [2] to create a more robust Space-Time Adaptive Processing (STAP) system. Through the use of extensive knowledge bases, circular SAR registration, and expert reasoning, the system has been shown to increase the detection performance in non-homogeneous environments.
ISSN:2375-5318
DOI:10.1109/RADAR.2018.8378731