Title :
Signal detection in compound-Gaussian noise: generalized detector
Author :
Tuzlukov, Vyacheslav
Author_Institution :
United Inst. on Informatics Problems, Nat. Acad. of Sci. of Belarus, Belarus
Abstract :
This paper handles the problem of directing signals with known form and structure and unknown or random amplitude and phase in the presence of compound-Gaussian noise with known spectral density. The generalized detector (GA) based on the generalized approach to signal processing (GASP) in noise is investigated (V. Tuzlukov, 1998, 2001, 2002). The structure of the GA detector is independent of the disturbance amplitude probability function. Based on this result, the threshold setting, which is itself independent on both the noise distribution and the signal parameters, ensures a constant false alarm rate. The detection performance analysis shows that the GA detector outperforms the optimum Neyman- Pearson (NP) receiver and the conventional square-law detector.
Keywords :
Gaussian noise; mean square error methods; probability; signal detection; compound-Gaussian noise; generalized detector; mean square values; signal detection; signal processing; spectral density; square-law detector; threshold setting; Acoustic noise; Atmospheric modeling; Baseband; Detectors; Electromagnetic interference; Gaussian noise; Noise level; Radar detection; Signal detection; Signal processing;
Conference_Titel :
Image and Signal Processing and Analysis, 2003. ISPA 2003. Proceedings of the 3rd International Symposium on
Print_ISBN :
953-184-061-X
DOI :
10.1109/ISPA.2003.1296887