SBIR-STTR Award

Innovative Situational Awareness and Decision Making Algorithms on Open Architecture System-on-Module
Award last edited on: 7/1/2016

Sponsored Program
SBIR
Awarding Agency
DOD : Army
Total Award Amount
$1,099,915
Award Phase
2
Solicitation Topic Code
A14-081
Principal Investigator
Joe Elder

Company Information

JRM Enterprises Inc

1127 International Parkway Suite 115
Fredericksburg, VA 22407
   (540) 752-2525
   sales@jrmtech.com
   www.jrmtech.com
Location: Multiple
Congr. District: 07
County: Spotsylvania

Phase I

Contract Number: ----------
Start Date: ----    Completed: ----
Phase I year
2015
Phase I Amount
$99,995
Information superiority is required to achieve full spectrum dominance in military operations. Current weapon systems are platform-centric, sensing and engagement capabilities are found in the weapon system. In this paradigm there is limited capability for the weapon to engage targets because the weapon system can only use the situational awareness created through the legacy systems organic sensors. Developments in information technology make it much easier for weapon systems to interact with each other. To be active participants in an emerging information dominated battle space, legacy weapon fire control systems need to be adapted to process incoming targets from external sources. Multi-sensor inputs need to be translated, correlated, and fused and into a format that can be understood by legacy fire control components.

Phase II

Contract Number: ----------
Start Date: ----    Completed: ----
Phase II year
2016
Phase II Amount
$999,920
The proposed Phase I initiative specifies requisite algorithms, requirements, design, and interfaces to extend legacy fire control system via a system-on-module to support information dominated networked operations. The proposed legacy system extension will establish external interfaces to non-organic sensor targets; translate external track data into a format that can be understood by the legacy fire control system; perform pre-filtering functions to establish track clusters; generate suitable system track fusion associations and state hypothesizes; and establish a prioritization queue capable of providing resultant system tracks to the legacy fire control system, based-upon internally and externally generated rule-sets.