SBIR Signal

Sensing Algorithms for Bandwidth Efficient Edge Radars (SABER)

SBIR topic from NSIN, solicitation 26.BZ. Open now. Closes 2026-09-23 (14 days left).

Component (WERX)
NSIN
Agency
OSD
Program / Phase
SBIR
Solicitation #
26.BZ
Topic #
OSW26BZ05-NV017
Status
Open
Pre-release date
2026-08-05
Open date
2026-08-26
Close date
2026-09-23 · 14 days until close · Add to calendar · See all deadlines
Set-aside
—
NAICS
—
Agency SBIR topic brief

Topic brief

Traditional agency SBIR topic from NSIN. Win rates improve when you mirror the solicitation language, show adjacent past performance, and confirm you can meet the close date (2026-09-23).

Agency topic focus: Line-by-line requirements mapping and adjacent past performance win traditional SBIR/STTR topics. Browse OSD awards for context.

Who this is for

  • Firms with past performance in this agency or adjacent tech domain
  • Teams that can evidence requirements line-by-line
  • Companies ready to make a go/no-go within days, not weeks

Capture playbook

  1. Extract SHALL / must requirements (use SAM shred on the solicitation text)
  2. Map each requirement to proof points from past work
  3. Review related awards and named incumbents on this page
  4. Build a Go/No-Go pack and only write if the verdict is GO or MAYBE
  5. Track OSW26BZ05-NV017 on a pipeline board and set a deadline alert

pWin cues

  • Keyword and technical overlap with prior agency awards
  • Realistic cost and schedule vs median awards in this domain
  • No mandatory set-aside or clearance gap you cannot meet

Watch-outs

  • Bidding topics outside your evidenced domain to 'practice'
  • Ignoring Phase I→II conversion rates in this agency
  • Late start relative to close date

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Go / No-Go decision pack

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Incumbent detector

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Description

Develop techniques for decentralized radar systems that will enable cooperative target inferences across tactical networks with N = 3 or more nodes while minimizing/optimizing required per-node effective communications bandwidth. Target inferences include detection and identification of sensed surface targets, and cooperative refers to the radar systems in the decentralized team working cooperatively to improve the confidence of target inferences through information fusion. These proposed techniques must establish the theoretical foundations and communication architectures at the physical and network layers necessary to support high-fidelity imaging and automatic target recognition (ATR) of maritime targets within a low end-to-end latency (which includes processing and network exchanges across the nodes). Proposals should clearly define their level of data fusion (e.g., decentralized signal-level, feature-level, or decision-level fusion) and the anticipated communications bandwidth requirements.

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