Title :
Locally optimum Bayes detection (LOBD) in signal-dependent noise
Author :
Maras, Andreas M. ; Kokkinos, Evangelos A.
Author_Institution :
Dept. of Electron. & Comput. Eng., Tech. Univ. of Crete, Chania, Greece
fDate :
5/1/1997 12:00:00 AM
Abstract :
The locally optimum Bayes detection (LOBD) framework for nonadditive non-Gaussian noise is applied to a particular additive and signal-dependent noise model where the noise components are correlated. Under the proposed observation model, the performance of the LOB detectors is compared with that of well-known conventional receivers
Keywords :
Bayes methods; correlation methods; noise; optimisation; signal detection; signal sampling; conventional receivers; correlated noise components; independent sampling; locally optimum Bayes detection; nonadditive nonGaussian noise; nonlinear coherent optimum detector; nonlinear noncoherent optimum detector; observation model; signal dependent noise model; Acoustic noise; Additive noise; Detectors; Helium; Object detection; Random variables; Reverberation; Signal detection; Signal processing; Signal sampling;
Journal_Title :
Communications, IEEE Transactions on
