Title :
Adaptive filtering in underwater tracking with correlated measurement noise
Author :
Graham, Marcus L. ; O´Brien, Frank ; Gong, Kai F. ; Hammel, Sherry E.
Author_Institution :
US Naval Undersea Warfare Center Div., Newport, RI, USA
Abstract :
The authors describe a multistage, hierarchical adaptive filtering technique derived for a complex, real-time nonlinear state estimation problem where the measurement noise is markedly non-Gaussian. The relative efficiency of the derived mathematical model was demonstrated through a Monte Carlo simulation experiment employing noisy angle-of-arrival measurements for undersea tracking.<>
Keywords :
Monte Carlo methods; State estimation; adaptive filters; hierarchical systems; real-time systems; simulation; state estimation; tracking; underwater sound; Monte Carlo simulation; correlated measurement noise; hierarchical adaptive filtering technique; mathematical model; real-time nonlinear state estimation problem; relative efficiency; underwater tracking;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1993. ICASSP-93., 1993 IEEE International Conference on
Conference_Location :
Minneapolis, MN, USA
Print_ISBN :
0-7803-7402-9
DOI :
10.1109/ICASSP.1993.319111
