SBIR/STTR Research Award

Scenario Based Tactical Radio Channel Simulator

Award identifier a545c850476051ac7fa909ff5d4e8cc3c249ad3b923994708e1955b1886d47c4Awarding agency Department of Defense · Navy

Award amount

$79,979

Program and phase

STTR · Phase I

Award year

2011

Explore This Research Award in CaptureIQ

Research the technology, evaluate the recipient and agency, identify related opportunities, and explore potential follow-on work with CaptureIQ.

Award details

Awarding agency
Department of Defense
Branch
Navy
Recipient company
dBmCorp, Inc
Proposal award date
2011-06-27
Contract end date
Not reported
UEI
REE1N4XHBSP6
Solicitation number
2011.A
Topic code
N11A-T038

Research abstract

dBm Corp in consortium with Rutgers University and XPRT propose to develop an NxN RF Emulator Matrix (N2REM) that is based on 1 to N channel implementation rather than 1 to 1 to enable the implementation of complex scenarios. This will allow a given node to have an independent RF relationship with every other node in the matrix. It is proposed to develop an architecture using N2REM as its core, leveraging the current Tier 2 Simulator capabilities developed by XPRT on the AMF program to generate scenario definitions. RF modeling expertise in terrestrial, airborne and urban propagation at Rutgers University will be utilized to convert scenario definitions in the form of terrain, positioning in the form of locations, speed and waypoints, and any desired propagation anomalies, either natural or artificial (for testing purposes), into scripts that can be used to control the N2REM in real time. Finally it is proposed to design a run time interface that allows real-time visualization and real-time control of N2REM as well as an SNMP-based interface to the radio units under test, and a data collection post-analysis capability.

Technology keywords

Not reported

Awards with the same topic code

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

Agency intelligence

Department of Defense

Back to SBIR/STTR Research Awards

Don't take our word for it. Ask AI about RFPCapture.

See what leading AI assistants have to say about RFPCapture and CaptureIQ.

Gemini opens without a prefilled question. The question is copied to your clipboard when the button works. You can also copy it here:

What is RFPCapture.com and its CaptureIQ platform from Smart Logic AI? How does it help federal contractors discover opportunities, evaluate bid/no-bid decisions, research government contracts, and prepare proposals? How does it compare with other federal capture platforms? Use independent sources where available.