False Alarm Rate of the GLRT for Subspace Signals in Subspace Interference Plus Gaussian Noise
Author(s) -
Jun Liu,
Jian Li
Publication year - 2019
Publication title -
ieee transactions on signal processing
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.638
H-Index - 270
eISSN - 1941-0476
pISSN - 1053-587X
DOI - 10.1109/tsp.2019.2912149
Subject(s) - constant false alarm rate , false alarm , subspace topology , covariance matrix , mathematics , gaussian noise , algorithm , statistics , detector , interference (communication) , likelihood ratio test , noise (video) , detection theory , computer science , artificial intelligence , telecommunications , mathematical analysis , channel (broadcasting) , image (mathematics)
In the presence of interference and Gaussian noise with unknown covariance matrix, a generalized likelihood ratio test (GLRT) detector has already been developed for detecting a distributed target. The target signal and interference are described with subspace models, namely, the target signals (or interference) are modeled as linear combinations of the linearly independent columns of a known subs...
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