Optimum Design of Artificial Lateral Line Systems for Object Tracking under Uncertain Conditions
Abstract
This study develops a method for optimum design of an artificial lateral line system, which tracks underwater objects by using the extended Kalman Filter (EKF). Sensor noise and model uncertainty are considered for design optimization. Dependency of the optimum setting of the EKF and the design parameters on the amount of uncertainty is investigated as well.
Authors: Ali Ahrari, Hong Lei, Montassar Aidi Sharif, Kalyanmoy Deb, Xiaobo Tan