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INFORMATION SYSTEMS LABORATORIES INC

Company Information
Address
12900 BROOKPRINTER PL STE 800
POWAY, CA 92064-6875
United States


http://www.islinc.com

Information

UEI: FAK5JKUKRXJ1

# of Employees: 79


Ownership Information

HUBZone Owned: No

Socially and Economically Disadvantaged: No

Woman Owned: No




Success Stories

  1. SBIR-STTR-Success: Information Systems Laboratories Inc.

    The Air Force is poised to save millions of dollars on the new radar systems it delivers to the warfighter.With support from the Air Force Small Business Innovation Research/Small Business Technology Transfer Program, San Diego-based Information Systems Laboratories Inc. developed a solution to...

Award Charts




Award Listing

  1. GPS-Denied Navigation using a Deep Learning Convolutional Neural Network (DL-CNN)

    Amount: $49,987.00

    In contested environments, navigation will be compromised due to the ease of jamming the low-power, distributed GPS satellite signals. The Air Force has recognized the vulnerability of military hardwa ...

    SBIRPhase I2020Department of Defense Air Force
  2. Cognitive Radar for Maritime/Littoral Surveillance

    Amount: $124,992.00

    Airborne maritime and littoral surveillance radar is facing a growing set of challenges in contested environments due to ever-evolving adversarial technologies and tactics. In addition to potential ne ...

    SBIRPhase I2019Department of Defense Navy
  3. Multifunction-Multimodal Airborne Radar in Maritime/Littoral Environments

    Amount: $124,992.00

    Airborne maritime and littoral surveillance radar/ESM/ELINT in contested environments is facing an increasingly sophisticated set of threats due to ever evolving adversarial tactics and a global proli ...

    SBIRPhase I2019Department of Defense Navy
  4. Ultra-High Frequency Clutter Model for Airborne Surveillance Radar

    Amount: $2,486,833.00

    This proposal presents a new way of testing airborne radar systems that employ adaptive signal processing techniques for ground clutter mitigation. The proposed approach is based on ISL’s Real-time ...

    SBIRPhase II2019Department of Defense Navy
  5. Distributed Deep Learning and Sensing

    Amount: $142,346.00

    The proverbial multi-INT “firehose� is well documented. There is simply too much data for any team of human analysts to effectively digest and process in real (actionable) time. Consequen ...

    SBIRPhase I2019Department of Defense Air Force
  6. Open Call for Innovative Defense-Related Dual-Purpose Technologies/Solutions with a Clear Air Force Stakeholder Need

    Amount: $49,770.00

    Currently, many U.S. Air Force flight simulators do not have a high-fidelity, physics-based, real-time modeling and simulation feature of real-world terrain, targets, and electronic warfare (EW) effec ...

    SBIRPhase I2019Department of Defense Air Force
  7. Virtual Reality for Multi-INT Deep Learning (VR-MDL)

    Amount: $148,420.00

    Recent advances and successes of deep learning neural networks (DLNN) techniques and architectures have been well publicized over the last several years. Voluminous, high-quality and annotated trainin ...

    STTRPhase I2019Department of Defense Air Force
  8. Fully-Adaptive Radar Modeling and Simulation Development

    Amount: $726,429.00

    Fully Adaptive Radar (FAR) has emerged as a key potential enabling technology to address a plurality of challenges facing the Warfighter in highly contested operations including Anti-Access, Area-Deni ...

    SBIRPhase II2018Department of Defense Air Force
  9. Ultra-High Frequency Clutter Model for Airborne Surveillance Radar

    Amount: $224,988.00

    In this proposal we introduce an overall solution for simulating high-fidelity, multi-channel, RF clutter signals to support advanced testing of the E2-D radar. Our approach leverages ISLs existing RF ...

    SBIRPhase I2017Department of Defense Navy
  10. Bistatic Radar Receiver/Processor

    Amount: $1,874,969.00

    Bistatic radar processing by airborne signals intelligence (SIGINT) and other intelligence, surveillance, reconnaissance (ISR) platforms affords covert, passive exploitation of adversary or own-force ...

    SBIRPhase II2017Department of Defense Navy
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