Passive Angle Tracking in a Distributed Sensor Environment

Period of Performance: 01/01/2014 - 12/31/2014

$730K

Phase 2 SBIR

Recipient Firm

Numerica Corp.
5024 Technology Parkway Array
Fort Collins, CO 80528
Principal Investigator

Abstract

In modern electronic warfare, network-centric tracking systems must be able to identify and track multiple objects within hostile, jamming environments, and then coordinate forces to take action. To meet this challenge, Numerica proposes to use Multiple Frame Assignment (MFA) and Multiple Hypothesis Tracking (MHT) methods to develop a state-of-the-art distributed tracking system that handles passive angle measurements in a network-centric context. Numerica will leverage geometric diversity, coverage area and complementary sensor information to significantly improve the track picture in the presence of advanced counter-measures. New track initiation schemes promise to address ghosting, advanced fusion and filtering algorithms offer reliable track maintenance, and alternative architectures provide superior performance in angle-only scenarios. Numerica is developing new algorithms that simultaneously assimilate low- and high-dimensional measurements in a passive tracking scenario. The algorithms combine low-dimensional and other types of degraded measurements from compromised sensors to generate a high-dimensional track picture. Numerica will develop an approach for the insertion of these algorithms into the Army IAMD Battle Command System (IBCS) Track Manager, providing a seamless, enhanced solution for the warfighter.