Title :
Detection of narrowband signals in alpha-stable noise environments
Author :
Ilow, J. ; Hatzinakos, D. ; Venetsanopoulos, A.N.
Author_Institution :
Dept. of Electr. & Comput. Eng., Toronto Univ., Ont., Canada
Abstract :
The detection of both known and narrowband signals in a mixture of Gaussian and impulsive noise is described. The impulsive noise is modeled as an alpha-stable process. Discrete-time processing is considered. A useful class of non-Gaussian narrowband noise models is developed for which the locally optimum receivers are determined. The robust detector, which consists of a matched filter with an envelope nonlinearity, shows substantial improvements in performance compared to linear detectors. The asymptotic relative efficiency (ARE) and the probability of error (Pe) are chosen as a basis for comparisons. The results obtained will be useful in the performance evaluation of digital communication links subject to Gaussian and impulsive noises
Keywords :
Gaussian noise; discrete time systems; error statistics; signal detection; Gaussian noise; alpha-stable noise environments; asymptotic relative efficiency; digital communication links; discrete-time processing; envelope nonlinearity; impulsive noise; locally optimum receivers; matched filter; narrowband signals detection; nonGaussian narrowband noise models; performance; probability of error; robust detector; Additive noise; Envelope detectors; Gaussian noise; Narrowband; Noise level; Noise robustness; Random variables; Signal detection; Signal to noise ratio; Working environment noise;
Conference_Titel :
Military Communications Conference, 1994. MILCOM '94. Conference Record, 1994 IEEE
Conference_Location :
Fort Monmouth, NJ
Print_ISBN :
0-7803-1828-5
DOI :
10.1109/MILCOM.1994.473926
