Title :
Detection of known FM signals in known heavy-tailed noise
Author :
Barkat, B. ; Yingtuo, J. ; Abed-Meraim, K.
Author_Institution :
Sch. of EEE, Nanyang Technol. Univ., Singapore
Abstract :
We consider the detection of a known frequency modulated signal corrupted by a known heavy-tailed additive noise. Two different techniques are presented. The first one is based on the Neyman-Pearson theorem and the second technique is based on the time-frequency distribution of the signal. A statistical performance comparison, using the receiver operating characteristics (ROC), of the two methods is also presented.
Keywords :
AWGN; blind source separation; frequency modulation; impulse noise; signal detection; statistical distributions; time-frequency analysis; wavelet transforms; FM signal detection; frequency modulated signal; heavy-tailed additive noise; impulsive noise; receiver operating characteristic; time-frequency distribution; Acoustic noise; Additive noise; Detectors; Gaussian noise; Noise level; Probability; Radar applications; Sonar applications; Telecommunications; Time frequency analysis;
Conference_Titel :
Signal Processing and Information Technology, 2003. ISSPIT 2003. Proceedings of the 3rd IEEE International Symposium on
Print_ISBN :
0-7803-8292-7
DOI :
10.1109/ISSPIT.2003.1341077
