Title :
Target detection via fused sonar waveforms
Author :
Sun, Yan ; Willett, Peter ; Swaszek, Peter
Author_Institution :
ECE Dept., Connecticut Univ., CT, USA
Abstract :
A common model for sonar clutter is of the transmitted signal convolved with a colored Gaussian process relating to the sea-bottom profile. This environment becomes strongly non-Gaussian if there are multiple realizations - the univariate statistics remain Gaussian, but the joint probability density function (PDF) is not. It turns out that the gains versus a Gaussian-assumption can be substantial.
Keywords :
Gaussian processes; clutter; sensor fusion; sonar detection; sonar signal processing; statistical analysis; PDF; colored Gaussian process; convolved signal; fused sonar waveforms; joint probability density function; sea-bottom profile; sonar clutter model; target detection; transmitted signal; univariate statistics; Detectors; Gaussian noise; Gaussian processes; Matched filters; Object detection; Probability density function; Signal processing; Sonar detection; Statistical distributions; Sun;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 2005. Proceedings. (ICASSP '05). IEEE International Conference on
Print_ISBN :
0-7803-8874-7
DOI :
10.1109/ICASSP.2005.1416178
