You are here

Signal Matching via Computationally Efficient Hashing

Award Information
Agency: Department of Defense
Branch: National Geospatial-Intelligence Agency
Contract: HM047621C0074
Agency Tracking Number: NGA-P2-21-26
Amount: $999,239.45
Phase: Phase II
Program: SBIR
Solicitation Topic Code: NGA172-003
Solicitation Number: 17.2
Solicitation Year: 2017
Award Year: 2021
Award Start Date (Proposal Award Date): 2021-09-14
Award End Date (Contract End Date): 2023-11-07
Small Business Information
601 Hutton St STE 109
Raleigh, NC 27606-6322
United States
DUNS: 148551653
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 Michael McNamer
 (919) 341-8241
Business Contact
 Aaron Walker
Phone: (919) 341-8241
Research Institution

Vadum will implement and test a software capability for rapid matching of time series data to a database of previously observed time series. The Clustered, Shingled Hashing of Random Projections (CSHARP) capability will generate efficient fingerprint representations of time series data. This capability will enable rapidly query for matches to newly observed, high-volume and velocity signal streams. CSHARP will provide an efficient alternative to current Normalized Cross Correlation (NCC) methods, retrieving accurate match sets in at least an order of magnitude less time, with acceptable loss in precision. CSHARP will provide a confidence on returns associated with a query, and will detect incoming data stream statistical drift assisting human-in-the-loop mitigations. The CSHARP capability, and associated graphical user interface, will be integrated into existing NGA analyst work flows, enabling scaling to dynamic, increasing GEOINT activities.

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

US Flag An Official Website of the United States Government