Robust Universal Adaptive Denoising Technology - STTR Topic DON26TZ01-NV009

Disclaimer:
This topic was temporarily posted by the Department of War SBIR Program on March 2nd 2026 and removed the following day.
We believe this topic is planned to be released once the SBIR program is reauthorized; however, this topic may ultimately be modified or withdrawn.

Sign up below to be notified as soon as this topic is released again. In the meantime, we’d recommend you start planning to respond if within your capabilities.

Funding Amount:

Est. $240,000

Deadline to Apply:

Est. April 29th, 2026.

Objective:

Develop robust denoising approaches that are highly adaptive and effective.

Description:

Signal denoising has shown to be highly effective in improving performance of signal processing radio frequency and acoustic sensing systems. The main hindering signal in these applications is noise as it degrades the ability to sense low level signals masked by ambient noise sources which may be external to the sensor or generated by the sensor itself. The main goal of this SBIR topic is to develop a denoising technology that suppresses noise while preserving the underlying signal features. Traditionally, denoising methods have struggled to maintain performance when presented with highly non-stationary or complex noise patterns. The traditional approaches typically require extensive and time-consuming tuning to achieve desired performance. On the other hand many of learning-based methods have demonstrated excellent denoising performance but suffer from limited robustness. Therefore, the method’s performance will drop if the training conditions do not adequately reflect the characteristics of the operational environment. The Navy seeks improvements in denoising performance greater than 10 dB.

For such a system installed on an aircraft, it will experience both wind- and aircraft-generated noise. That noise has components that are narrow band (< 10 Hz wide) and broadband (10s to 100s of Hz wide). The spectrum of interest for sensing extends from approximately 10 Hz to 1000 Hz. When compared with more traditional active noise cancellation techniques, the denoising approach should be capable of providing 6 dB of additional cancellation and show potential to deliver 10 dB or more cancellation.

Who will win?

If you can achieve the objective above better than any other company on the market, you have a very high-likelihood of success and should apply.

Who is eligible to apply?

Any company that meets the following criteria:

• For-profit company

• U.S.-owned and controlled.

• 500 or fewer employees (including affiliates)

How Can BW&CO Help?

1) End-to-end support including, strategy, writing of the full proposal, and administrative & compliance support.

2) Proposal strategy and review.

3) Administrative & compliance support.

Request to talk with a member of our team by completing the form below: