z-logo
open-access-imgOpen Access
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...

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom