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U.S. Department Of Defense·Virginia

Track at Big Distances with Track-Before-Detect (TBD2) Proposers Day Announcement

Closes 10/27/2025$1M – $10MRequest for Proposal
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Description

The Track at Big Distances with Track-Before-Detect (TBD2) program aims to enable continuous space-based detection and tracking of objects in cislunar space on tactical timelines. The program seeks to advance state-of-the-art signal processing algorithms to detect faint objects at gigameter distances, operate using available onboard processing capabilities, and achieve relevant timelines within hours. The program consists of two tasks: reducing computational needs and power consumption of signal processing algorithms and developing a payload design that optimizes quasi-COTS sensors, onboard processors, and algorithms. Key aspects of the program include: * Detecting faint objects at gigameter distances * Operating using available onboard processing capabilities * Achieving relevant timelines within hours * Reducing computational needs and power consumption of signal processing algorithms * Developing a payload design that optimizes quasi-COTS sensors, onboard processors, and algorithms

Attached files

Contact

[email protected]

Key dates

Opened
10/21/2025
Pre-bid meeting
11/4/2025
Closes
10/27/2025
Duration
15 months

Last updated

Details

Type
Request for Proposal
Industry
Aerospace and Defense
NAICS
541715
Solicitation №
DARPA-SN-26-09

Budget estimate

$1,000,000 – $10,000,000

The budget for this project is difficult to estimate without more information on the specific requirements and the number of participants. However, considering the complexity and the goals of the project, it is likely that the budget will be substantial. A possible estimate could be in the range of $1 million to $10 million, considering the 15-month duration and the involvement of advanced technologies. Factors that may influence the payment range include the number of participants, the level of innovation required, and the specific requirements of the project.

AI estimate from the solicitation

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