SBIR/STTR Research Award

Software Defined Multi-Channel Radar Receivers for X-band Radars

Award identifier d2a17aa9dc6328e7412da0cf98fbfb84b37ba4fa04d0671fe49822880676444dAwarding agency Department of Defense · Missile Defense Agency

Award amount

$99,925

Program and phase

STTR · Phase I

Award year

2010

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Award details

Awarding agency
Department of Defense
Branch
Missile Defense Agency
Recipient company
MAXENTRIC TECHNOLOGIES LLC
Proposal award date
2010-05-03
Contract end date
2010-11-02
UEI
JL9DW4GMNJ53
Solicitation number
2009.B
Topic code
MDA09-T003

Research abstract

The United States Missile Defense Agency (MDA) is searching for a software-defined multi-channel radar receiver that would provide improved performance and added flexibility over currently deployed radar systems. In response, MaXentric is proposing a system codenamed MASR (Manycore Adaptive Software Radar). The MASR system is composed of a hierarchy of X-band front-ends, high-speed digitizers, FPGAs, and Manycore processors that can be reconfigured and scaled to fit the requirements of individual applications. MASR will benefit the MDA with its high degree of flexibility in allowing many different radar algorithms as well as different beamforming structures, which will in turn greatly enhance MASR equipped radar systems in their ability to acquire, track, and identify ballistic missile threats.

Technology keywords

Not reported

Other awards by this recipient

Verified by the same UEI. These are other public SBIR/STTR award pages, not a merged company record.

Awards with the same topic code

Verified by an exact topic code match. This is not a text-similarity match.

Research funding history

210 SBIR/STTR records share this UEI (2004–2026). Reported award amounts total $112,803,093. Reported amounts are not federal obligations.

Phases: Phase I, Phase II, Phase II – Direct to Phase II

Agencies: Department of Defense, National Aeronautics and Space Administration, Department of Homeland Security

Agency intelligence

Department of Defense

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