SBIR/STTR Research Award

Linear Distortion Compensator

Award identifier 3928d79b41e3c4f395188cb325713edb4cf6e1be5c9eecb3e0d1c1ff166d89f4Awarding agency Department of Defense · Defense Advanced Research Projects Agency

Award amount

$98,943

Program and phase

SBIR · Phase I

Award year

2001

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
Defense Advanced Research Projects Agency
Recipient company
V CORP. TECHNOLOGIES, INC.
Proposal award date
Not reported
Contract end date
Not reported
UEI
HLEJMS3GMGT9
Solicitation number
Not reported
Topic code
Not reported

Research abstract

This Small Business Innovation Research Phase I project demonstrates a breakthrough approach to high-resolution linearity error compensation (LinComp) using computationally-efficient digital signal processing to reduce harmonic and intermodulationdistortion in analog-to-digital converters (ADCs), digital-to-analog converters (DACs), sampling circuitry, and radio frequency amplifiers (or the combination of these devices in the complete RF chain) by at least 24 dB. This technology improves thedynamic range by at least four bits, enabling very accurate synthesis of data at high intermediate frequencies (IF) with very high sample rates (e.g., 18-bit dynamic range with 300 MHz sample rate or 12-bit dynamic range at GHz sample rates). The LinComptechnology reduces the size, power, and cost of radar systems and RF transceivers by eliminating much of the RF electronics and reducing the digital signal processing requirements.The significant performance improvements afforded by this approach over traditional compensation techniques will be demonstrated in Phase I by implementing the digital processing in realtime FPGA hardware, demonstrating efficient auto-calibration routines,an testing the processor on a combination of devices in an RF chain. The auto-calibration routines will be built in FPGA hardware in the Phase I Option.V-Corp has confirmed the technical efficacy of the LinComp processing methodology by testing with state-of-the-art analog-to-digital and digital-to-analog converters. This compensation approach requires less hardware, provides much better dynamic range,and provides compensation over a wider bandwidth than competing linearity compensation methods (such as phase-plane compensation and dither). Very importantly, the LinComp processor will always exceed the state-of-the-art because it can easily be upgradedas new, more powerful ADC, DAC, and amplifier products become available. During Phase II, a compact LinComp ADC prototype will be developed to enable direct sampling of data at high IF.The LinComp approach overcomes the critical A/D conversion bottleneckwhich limits performance of state-of-the-art radio frequency transceiver systems. Virtually any high-performance modern electronic system will benefit from the LinComp ADC. Significant applications include enhancement of radar systems, wideband universalRF transceivers, specialized test equipment, and medical imaging systems.

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.

Research funding history

21 SBIR/STTR records share this UEI (1999–2011). Reported award amounts total $8,251,558. Reported amounts are not federal obligations.

Phases: Phase I, Phase II

Agencies: Department of Defense

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.