Abstract

Background/Objectives: In underwater, a single submarine processes noisy sonar bearings from a radiating target (ship/submarine/torpedo) in passive listening mode. Methods/Statistical Analysis: The target is assumed to be at constant velocity or maneuvering in its course/speed/course and speed. An adaptive Kalman filter estimates target motion parameters. Findings: Data fusion and data association in multi target and multi sensor scenario are carried out, using Chi-squared innovation process. Applications/Improvements: Finally improved torpedo intercept guidance algorithm with homing capabilities is developed for attacking the target.

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