DocumentCode
1151213
Title
On the Improvability and Nonimprovability of Detection via Additional Independent Noise
Author
Bayram, Suat ; Gezici, Sinan
Author_Institution
Dept. of Electr. & Electron. Eng., Bilkent Univ., Ankara, Turkey
Volume
16
Issue
11
fYear
2009
Firstpage
1001
Lastpage
1004
Abstract
Addition of independent noise to measurements can improve performance of some suboptimal detectors under certain conditions. In this letter, sufficient conditions under which the performance of a suboptimal detector cannot be enhanced by additional independent noise are derived according to the Neyman-Pearson criterion. Also, sufficient conditions are obtained to specify when the detector performance can be improved. In addition to a generic condition, various explicit sufficient conditions are proposed for easy evaluation of improvability. Finally, a numerical example is presented and the practicality of the proposed conditions is discussed.
Keywords
probability; signal detection; statistical testing; Neyman-Pearson criterion; additional independent noise; binary hypothesis testing; probability; suboptimal detector; Binary hypothesis-testing; Neyman–Pearson; detection;
fLanguage
English
Journal_Title
Signal Processing Letters, IEEE
Publisher
ieee
ISSN
1070-9908
Type
jour
DOI
10.1109/LSP.2009.2028418
Filename
5175271
Link To Document