SBIR/STTR Research Award

Picosat POL Secure Comms

Award identifier a6215fe6d51324a842966ae17ba87ea71c0849d3216f03b54572b6dd32899a9aAwarding agency Department of Defense · Air Force

Award amount

$1,249,989

Program and phase

SBIR · Phase II – Direct to Phase II

Award year

2023

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Award details

Awarding agency
Department of Defense
Branch
Air Force
Recipient company
INTUIDEX INC
Proposal award date
2022-11-30
Contract end date
2024-08-30
UEI
JH9UMM4YTVZ8
Solicitation number
X22.4
Topic code
X224-ODCSO2

Research abstract

The primary objective of this proposed effort is to improve the Resilient Information Sharing capability of United States warfighters against potential near-peer adversaries using enhanced space-based intelligence, surveillance and reconnaissance (ISR) assets.  The enhancements seek to improve the security and resiliency of orbital assets through a novel cybersecurity paradigm and laser-based communications embedded in flocks of low-size, weight, power and cost (SWaP-C) picosats.  These enhancements will be applied to commercial products used in a Space-Data-as-a-Service (SDaaS) offering, undergo terrestrial and orbital test and evaluation (T&E) culminating with hands-on validation by enlisted End-Users. The solution leverages low SWaP-C picosatellite platforms to achieve dedicated and persistent ISR from orbit, thereby identifying the most timely, relevant and important information collected.  The solution involves space payloads containing sensor systems that perform both earth and orbital observation to detect electronic signals and conduct observations using synthetic aperture radar as well as electro-optical sensors approaching one meter per pixel resolution by leveraging multiple satellites in a flock.  The payloads are at the picosatellite (“PocketQube”) size, which is nominally 5cm square.  These picosatellites contain custom software and algorithms that use low-resource (machine) learning (LRL) techniques to automatically identify Objects and Activities that fall outside the "normal" pattern of life observed by the picosatellite constellation in real time.  The effort and time required to train machine learning models using LRL is significantly less than other known approaches.  Pattern of life is maintained on the Objects and Activities, and anomalous Objects and Activities are relayed to Ground Stations and are readily integrated into other data systems to improve situational awareness.  This pattern of life and anomaly detection (POL/AD) capability is fully supported on Space Force classified networks in the Offeror’s commercial off-the-shelf (COTS) software product Watchman for Defense (W4D), which is readily adaptable for application on space-based assets.

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

14 SBIR/STTR records share this UEI (2009–2023). Reported award amounts total $8,261,307. Reported amounts are not federal obligations.

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

Agencies: Department of Defense, Department of Homeland Security

Agency intelligence

Department of Defense

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