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Advanced Data Association Algorithms to Address Emerging Threats

Award Information
Agency: Department of Defense
Branch: Missile Defense Agency
Contract: HQ0860-21-C-7133
Agency Tracking Number: B2-3059
Amount: $1,499,926.00
Phase: Phase II
Program: STTR
Solicitation Topic Code: MDA19-T001
Solicitation Number: 19.C
Timeline
Solicitation Year: 2019
Award Year: 2021
Award Start Date (Proposal Award Date): 2021-07-14
Award End Date (Contract End Date): 2023-07-13
Small Business Information
303 Williams Avenue Suite 131/132
Huntsville, AL 35801-1111
United States
DUNS: 078491477
HUBZone Owned: Yes
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 Mark Lambrecht
 (256) 763-8769
 mark.lambrecht@arcarithm.com
Business Contact
 Randy Riley
Phone: (256) 763-8781
Email: randy.riley@arcarithm.com
Research Institution
 University of Alabama in Huntsville
 Paul Whitehead
 
301 Sparkman Dr NW
Huntsville, AL 35899-1234
United States

 (256) 824-5204
 Nonprofit College or University
Abstract

The proposed approach provides innovative sensor data association algorithms capable of performing correct data association in multi-target tracking environments with one or more sensors. Improved detection/track association is an enabling technology for enhancing tracking and object identification. Data association is a critical precursor to the track filtering process. The data association process is highly coupled to the tracking process. However, there are separate and unique algorithms that perform the data association function, as many track filters are designed assuming perfect data association (which is not a valid assumption for a real world application). Approved for Public Release |21-MDA-10789 (21 Apr 21)

* Information listed above is at the time of submission. *

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