Improved Detection, Localization, and Classification of Torpedoes

Period of Performance: 01/01/2015 - 12/31/2015

$1000K

Phase 2 SBIR

Recipient Firm

Adaptive Methods, Inc.
5860 Trinity Parkway Array
Centreville, VA 20120
Principal Investigator

Research Topics

Abstract

Torpedoes are a lethal threat to surface ships, and the ability to detect them remains a ship-safety priority. Current torpedo-detection algorithms are effective against certain models, but evolving torpedo propulsion systems and enemy tactics constantly chip at away at the present defense capability. This proposal will demonstrate opportunities to use the hull-mounted sensor to significantly close that gap by increasing the probability of detecting torpedoes and reducing false torpedo alerts. Our approach is to develop improved signal processing that facilitates existing and future feature detectors, and to develop kinematic features that exploit the motion characteristics and the broad spectrum of energy of these weapons. The specific means to achieve this are: 1. Utilize extended bandwidth and other improvements to the hull-array adaptive beamformer (ABF) to better detect both kinematic and acoustic-signature torpedo characteristics 2. Develop kinematic feature-detector algorithms capable of detecting various torpedo motion patterns (for example, wake-homing torpedoes) with the hull array