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
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;
Journal_Title :
Signal Processing Letters, IEEE
DOI :
10.1109/LSP.2009.2028418