Open AccessDesign of Robust Detector with Noise Variance Estimation Censoring Input Signals over AWGN
Author(s) -
Lee HyeonCheol,
Halverson Don R.
Publication year - 2007
Publication title -
etri journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.295
H-Index - 46
eISSN - 2233-7326
pISSN - 1225-6463
DOI - 10.4218/etrij.07.0206.0002
Subject(s) - censoring (clinical trials) , detector , additive white gaussian noise , statistics , algorithm , variance (accounting) , gaussian noise , noise (video) , mathematics , computer science , white noise , artificial intelligence , telecommunications , accounting , business , image (mathematics)
As an alternative to the classic linear detector which only assumes noise variance, a new robust detector with noise variance estimation censoring input signals over AWGN is proposed. The results demonstrate that analytic detection probability matches the simulation results for the linear detector and that the new robust detector shows better performance than the linear detector when the number of samples increases.