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Sub-Noise-Floor Cyclostationary Analysis Development

Open
SBIR / STTR

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This subcontract opportunity with the United States Navy focuses on the development of specialized mathematical algorithms designed to isolate structured signals from background noise for naval edge computing projects. The primary technical objective is to compute spectral correlation density and perform cyclic autocorrelation to uncover covert signal periodicities, specifically targeting symbol rates and chipping sequences. Successful execution requires the use of digital signal processing toolsets such as MATLAB or GNU Radio to deliver validated cyclostationary analysis modules and code. The project is designated as a total small business set-aside under NAICS code 541715, specifically adhering to SBIR/STTR mandates for companies with fewer than 500 employees. Due to the sensitive nature of the work, all participating personnel must possess a Secret Personnel Clearance. Interested parties must submit their responses by December 2, 2026.

General Info

US Navy small business subcontract for signal isolation algorithms; Secret clearance required by 12/2/2026.

Documents

This scope was carved out of DON27BZ02-DV026.

The full solicitation package (2 documents), including the RFP, is on the prime solicitation, not on this scope.

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DIRECT TO PHASE II: Frequency-Based Persistent Artificial Intelligence Tracking and Surveillance Capability

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Organization & Contact Information

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AgencyDepartment of Defense → United States Navy
ContactsNo contacts available
OfficeN/A
Office AddressN/A
ContactsNo contact information available

Full Description

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Develops specialized mathematical algorithms to isolate structured signals from background noise for prime contractors on US Navy naval edge computing projects. Computes spectral correlation density (SCD) and performs cyclic autocorrelation to expose covert signal periodicities, including symbol rates and chipping sequences. Utilizes DSP toolsets like MATLAB or GNU Radio. Requires Secret Personnel Clearance. Delivers validated cyclostationary analysis modules and code.

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