MARKET INTEL |
PRIME CONTRACT

Definitive Contract - 140D0419C0024

OVERVIEW

Awardee
Imsar P
Original Description
RADAR, SYNTHETIC APERTURE RADAR (SAR), MACHINE LEARNING (ML), ADVANCED ALGORITHMS, UNMANNED AIRCRAFT SYSTEMS (UAS), COUNTER-UAS (CUAS), MOVING TARGET INDICATION (MTI), INTELLIGENCE SURVEILLANCE AND RECONNAISSANCE (ISR)
Place of Performance
Springville, UT USA
Pricing
Fixed Price
Set Aside
Small Business Set Aside - Total (SBA)
Extent Competed
Full And Open Competition After Exclusion Of Sources
Related Opportunity
None

SBIR DETAILS

Research Type
Small Business Innovation Research Program (SBIR) Phase I
Title
Advanced Algorithms for Radar Classification of Airborne Targets
Abstract
The proliferation of Unmanned Aircraft Systems (UAS) provides many benefits and opportunities, but also introduces a number of new challenges and threats. These UAS are widely commercially available and can be operated by individuals with little training. These UAS present a threat in both commercial and military environments. For example, near airports or forest fires, low flying aircraft could collide with a small UAS. Enemy operators in a military base or outpost could use a low cost UAS for surveillance or other nefarious purposes. In addition to the problems that UAS can create in terms of a tactical threat, they can also have issues of colliding with birds. Not only can UAS have problems with birds, but birds can be nuisance on airfields as well and can interfere with the taking off and landing of various aircrafts. A key to mitigating the risks presented by these low-cost UAS and birds is the ability to detect them and initiate proper actions. Radar, with its all weather, day and night operation is an excellent option for providing this capability. IMSAR proposes leveraging it's proven capability with machine learning to automatically distinguish between UAS and birds.
Topic Code
AF183-002
Solicitation Number
18.3
Contact
Curtis Thomas
(801) 798-8440
curtis.thomas@imsar.com

STATUS
(Closed)

Period of Performance

2/4/19

Start Date

5/3/19

Current End Date

5/3/19

Potential End Date
100% Complete

Obligations

$73.6K

Total Obligated

$73.6K

Current Award

$73.6K

Potential Award
100% Funded

AWARD RELATIONSHIPS

Definitive Contract

140D0419C0024

Subcontracts

-

Definitive Contract

140D0419C0024

Subs

-

ACTIVITY TIMELINE

SUBCONTRACT AWARDS

Opportunity Lifecycle

HISTORY

COMPETITION
Solicitation Procedures
Negotiated Proposal/Quote
Number of Offers Received
235
Other Than Full and Open Competition
None
Evaluated Preference
None
Commercial Item Acquisition
Commercial Item Procedures Not Used
Simplified Procedures for Commercial Items
No

OTHER CATEGORIZATIONS

Subcontracting Plan
Plan Not Required
National Interest Action
None
IT Commercial Item Category
Not Applicable
AGENCY DETAIL
Created By
ttonsil
Last Modified By
gingrasc
Approved By
gingrasc
Awarding Office
140D04 IBC ACQ SVCS DIRECTORATE (00004)
Funding Office
HQ0287 OUSD(AT&L)

LEGISLATIVE MANDATES

Clinger-Cohen Act Compliant
No
Construction Wage Rate Requirements
No
Labor Standards
No
Materials, Supplies, Articles & Equipment
No
Last Modified: 6/28/21


PIID: 140D04-19-C-0024