SBIR-STTR Award

Data Link Bottleneck Reduction Using Big Data Analytics
Award last edited on: 9/19/2022

Sponsored Program
SBIR
Awarding Agency
DOD : Navy
Total Award Amount
$1,039,987
Award Phase
2
Solicitation Topic Code
N202-101
Principal Investigator
Joseph G Teti

Company Information

Lambda Science Inc

919 Conestoga Road Suite 2-308
Wayne, PA 19010
   (610) 581-7940
   N/A
   www.lamsci.com
Location: Single
Congr. District: 05
County: Delaware

Phase I

Contract Number: N68335-21-C-0025
Start Date: 10/21/2020    Completed: 5/3/2021
Phase I year
2021
Phase I Amount
$239,993
Network centric warfare continues to place increasing demands on line of site (LOS) and beyond line of site (BLOS) data links. The movement of voice, command and control (C2) and all source sensor data requires a sophisticated network of satellite and in-theater connectivity that includes wideband global satcom (WGS), the common data link (CDL), and low latency tactical data links (e.g., TCDL, Link-16, etc.). The current and future of USN maritime operations rely on the movement and sharing of sensor data between air, surface and subsurface platforms to construct and maintain a common operational picture (COP). The data links are operating at or near capacity to move radar and EO/IR data over the network. The proposed effort will leverage big data analytics and other advance image data processing techniques to dramatically reduce the data link capacity requirements.

Benefit:
Dramatic reduction in link data rate requirements for radar and EO/IR imagery leveraging big data analytics concepts and other advanced data processing.

Keywords:
Radar imagery, Radar imagery, Data link, EO/IR Imagery, big data analytics

Phase II

Contract Number: N68335-22-C-0168
Start Date: 3/22/2022    Completed: 4/1/2024
Phase II year
2022
Phase II Amount
$799,994
The Phase 1 effort made significant advances in the development of CONOPs and processing techniques, and demonstrated that a 100x reduction in data link capacity requirements for radar and EO/IR imagery is possible with the use of LSIs RM and automated video frame selection. The objectives of the Phase 2 effort include the further advancement of these CONOPs and techniques, and the demonstration of them with EO/IR FMV from Navy test flights.

Benefit:
LSIs current and proposed efforts will provide research and development products that will comprise a complete methodology for optimizing radar sensor operation in a maritime environment within Minotaur to demonstrate a RM and MCA with RM augmented by AI and Bayesian Inference, that includes a mission planning and training capability. The current proposal will successfully integrate new data link bottleneck reduction capabilities with the EO/IR camera under RM control for all of the Navy Minotaur use cases (e.g.,PMA-262, PMA-266, PMA290, PMA-299). Broader transition to PEO (A), Naval Air Systems Command, PEO (U&W), is also planned.

Keywords:
link bottleneck, Big Data