Title :
Detection and estimation of multiplicative jumps
Author :
TOURNERET, Jean- Yues ; Chabert, Marie ; Ghogho, Mounir
Author_Institution :
ENSEEIHT/GASPE, Toulouse, France
Abstract :
Multiplicative jumps have been considered in many applications. These applications include speckle signal in radar images, mechanical vibrations, non-linear time series and random communication models. The problem addressed here is the detection of multiplicative jumps using the Neyman-Pearson test. This test constitutes a reference to which suboptimal detectors can be compared. In practical applications, the parameters of the noise and of the jump have to be estimated. The maximum likelihood estimator and the Cramer Rao bound for these parameters are then studied
Keywords :
maximum likelihood estimation; noise; parameter estimation; radar imaging; random processes; signal detection; speckle; time series; vibrations; Cramer Rao bound; Neyman-Pearson test; maximum likelihood estimator; mechanical vibrations; multiplicative jump detector; multiplicative jump estimation; noise parameters; nonlinear time series; radar images; random communication models; speckle signal; suboptimal detectors; Cramer-Rao bounds; Detectors; Maximum likelihood detection; Maximum likelihood estimation; Radar applications; Radar detection; Radar imaging; Speckle; Testing; Vibrations;
Conference_Titel :
Statistical Signal and Array Processing, 1996. Proceedings., 8th IEEE Signal Processing Workshop on (Cat. No.96TB10004
Conference_Location :
Corfu
Print_ISBN :
0-8186-7576-4
DOI :
10.1109/SSAP.1996.534810