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U.S. Department Of Defense·California

Spectrum Analyzer

Closes 7/23/2026$100k – $500kRequest for Information
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Description

The United States Air Force is conducting market research to identify potential sources for a Spectrum Analyzer. The analyzer should have a minimum of 200 Mhz Max Analysis Bandwidth, combined low phase noise and high DANL, and the SCPI record/replay feature. The Air Force is seeking information from interested companies, including their company name, SAM Unique Entity ID, Cage Code, address, points of contact, and other relevant information. The information package should be clear, concise, and complete, and should include a market research quote with specifications for each line item. * The Spectrum Analyzer will be used to verify correct radio frequency signals, check for undesired RF signals, and record sampled signals for follow-on analysis and reporting. * The Air Force is under no obligation to provide feedback or contact companies for clarification of submitted information. * The due date for responses to this synopsis is 23 July 2026, 9:00 am Pacific Standard Time. * The potential NAICS code for this procurement is 334515, which is for Instrument Manufacturing for Measuring and Testing Electricity and Electrical Signals.

Attached files

Contact

Carmen Barahona

[email protected]

Key dates

Opened
7/20/2026
Closes
7/23/2026

Last updated

Details

Type
Request for Information
Industry
Aerospace and Defense
NAICS
334515
Solicitation №
F1S0AX6168A002

Budget estimate

$100,000 – $500,000

It is difficult to estimate the budget for this opportunity as it is a Request for Information and not a solicitation for proposals. However, based on the requirements for the Spectrum Analyzer, it is likely that the budget will be in the range of $100,000 to $500,000. This estimate is based on the assumption that the Air Force will be purchasing a single unit of the analyzer, and the price will depend on the features and specifications of the device. Factors that may influence the likely payment range include the complexity of the analyzer, the materials and components used, and the manufacturing process.

AI estimate from the solicitation

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