DocumentCode
432002
Title
Target detection via fused sonar waveforms
Author
Sun, Yan ; Willett, Peter ; Swaszek, Peter
Author_Institution
ECE Dept., Connecticut Univ., CT, USA
Volume
4
fYear
2005
fDate
18-23 March 2005
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Acoustics, Speech, and Signal Processing, 2005. Proceedings. (ICASSP '05). IEEE International Conference on
ISSN
1520-6149
Print_ISBN
0-7803-8874-7
Type
conf
DOI
10.1109/ICASSP.2005.1416178
Filename
1416178
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