Title :
Sonar bottom mapping using fourth-order cumulants
Author :
Jeffers, Russell
Author_Institution :
Digital Syst. Resources, Fairfax, VA, USA
fDate :
28 Sept.-1 Oct. 2003
Abstract :
The problem of sonar bottom mapping is addressed. Recent work has shown that high frequency seafloor backscatter can be characterized statistically by non-Gaussian, heavy tailed distributions. The statistical characterization can be exploited for improved bottom mapping. Known array processing methods are employed but with fourth-order cumulant functions rather than second-order covariance. The fourth-order statistics allow improved rejection of Gaussian interference for greater array gain in this application.
Keywords :
Gaussian distribution; direction-of-arrival estimation; higher order statistics; hydrological techniques; interference (signal); sonar signal processing; Gaussian interference; array processing methods; direction-of-arrival estimation; fourth-order cumulants; high frequency seafloor backscatter; sonar bottom mapping; Array signal processing; Backscatter; Delay estimation; Direction of arrival estimation; Frequency; Random processes; Scattering; Sensor arrays; Sonar applications; Statistical distributions;
Conference_Titel :
Statistical Signal Processing, 2003 IEEE Workshop on
Print_ISBN :
0-7803-7997-7
DOI :
10.1109/SSP.2003.1289444