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Signal Intelligence (SIGINT) Sensing Modules

Active

Federal

Contract Overview

Solicitation details, issuing organization, response deadlines, documents, and interested companies for this government contract opportunity.

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This Phase III Small Business Innovative Research effort under contract AF222-D025 focuses on the development of advanced signal-processing modules for the Department of the Navy. The project aims to enhance the preparation of the signal environment to effectively identify and mitigate interfering signals while supporting the detection, identification, and collection of target Signals of Interest. A critical component of the development involves integrating machine learning algorithms that allow the system to adapt to dynamic signal environments without compromising mission capabilities. Managed by the Naval Air Warfare Center Division seaPort, the work is categorized under NAICS code 541715 for research and development in physical, engineering, and life sciences. The performance of this contract is centered in Point Mugu, California. This initiative represents a strategic effort to advance Signal Intelligence sensing capabilities through innovative technological integration and adaptive processing.

General Info

Navy contract AF222-D025 develops adaptive signal-processing modules using machine learning in California.

Agency

Department Of The Navy → D520000/E520000 - D52/E52 - Nawcwd

NAICS

541715 - Research and Development in the Physical, Engineering, and Life Sciences (except Nanotechnology and Biotechnology)

Place of Performance

POINT MUGU, CA, USA

Set-Aside

NONE

Documents

0

No documents available

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Timeline

PostedJul 2

forecast

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Organization & Contact Information

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AgencyDepartment Of The Navy → D520000/E520000 - D52/E52 - Nawcwd

ContactsNo contacts available

OfficeN/A

Organization / AgencyDepartment Of The Navy → D520000/E520000 - D52/E52 - Nawcwd

Office AddressN/A

ContactsNo contact information available

Full Description

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Phase III Small Business Innovative Research (SBIR) effort under AF222-D025 for development of an advanced signal-processing modules that assist with preparation of the signal environment to identify and mitigate interfering signals and to support detection, identification, and collection of target Signals of Interest (SOI) as well as utilizing machine learning algorithms to adapt to changing signal environments while maintaining mission capabilities.

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