This solicitation closed on September 23, 2026
View current Department of Defense opportunities →Sensing Algorithms for Bandwidth Efficient Edge Radars (SABER)
AI Overview
SABER seeks algorithms that optimize communications and sensing in decentralized radar networks by processing data locally and transmitting only compressed features. This addresses the Joint Force's need to balance imaging fidelity with bandwidth constraints in distributed maritime operations.
This summary is AI-generated from the official solicitation.
Key Details
Official Description
Distributed sensing radars serve as an important component of the Joint Force strategy for situational awareness, e.g., US Navy’s vision of Distributed Maritime Operations (DMO) [1] and advanced tactical imaging research. By networking physically dispersed radar nodes into a unified cooperative mesh, the Joint Force can fuse information to enhance surface target detection, track and identification. Furthermore, coordinating information from these dispersed nodes overcomes traditional single-plat...
Change History
Informational change · Status
Sensing Algorithms for Bandwidth Efficient Edge Radars (SABER)
Status changed from status: Open to status: Closed.
Informational change · Description
Sensing Algorithms for Bandwidth Efficient Edge Radars (SABER)
Description information changed.
Sensing Algorithms for Bandwidth Efficient Edge Radars (SABER)
Q&A Changes Summary
Answers Added to Previously Unanswered Questions:
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Q7 & Q8 (Phase I Option Period): Clarified that NO Phase I option period is permitted for SABER topic.
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Q9 (M&S Requirements & Fusion Architecture): Comprehensive guidance added covering: M&S tool flexibility; decentralized network baseline (N≥3 nodes vs. centralized counterpart); maritime target classes (Gross, Perceptual, Fine); all fusion levels encouraged; adaptive fusion acceptable after core requirements met; performance metrics (image fidelity, feature extraction accuracy, target ID); decentralized definition (no central processing node).
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Q10 (Hardware vs. Simulation): Confirmed hardware testing (e.g., Texas Instruments IWR6843AOP) acceptable if decentralized architecture requirements met.
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Q11 (COTS Baseline & Target Types): Approved software-validated decentralized network approach; maritime targets (ships) OR ground targets (vehicles) acceptable for Phase I baselines.
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Q12 (CMMC Level): Confirmed "Level 1" requirement (not "Level 1 (Self)").
Sensing Algorithms for Bandwidth Efficient Edge Radars (SABER)
Summary of Q&A Changes:
Added 6 new questions (Q1–Q6) addressing technical requirements:
- Availability of TDMA waveform/hopping parameters (classified status)
- Government-furnished interference environment data vs. proposer-developed models
- Lab vs. live demonstration expectations for 70 nmi CNI connectivity
- Phase II dataset characteristics for algorithm development
- Threshold/objective latency values and measurement methodology
- Government baseline specifications vs. proposer-defined baselines
Retained all 6 previous questions (now Q7–Q12) unchanged, including Phase I option period eligibility, M&S assumptions, hardware testing acceptability, COTS baseline approaches, and CMMC Level 1 confirmation.
Sensing Algorithms for Bandwidth Efficient Edge Radars (SABER)
Added 2 new Q&As (Q1-Q2, now duplicated) clarifying Phase I option period eligibility, cost ceilings, and DSIP webform entry procedures. Original technical questions renumbered as Q3-Q6 with no answer updates provided.
Sensing Algorithms for Bandwidth Efficient Edge Radars (SABER)
These Q&As clarify that Phase I can use simulation or small-scale hardware (including consumer radar), allow flexibility in fusion architecture (signal/feature/decision-level), and permit alternative target classes (small-UAS/base-defense) if communication-inference tradeoffs are addressed—while confirming CMMC Level 1 (not Level 1 Self) is the mandatory security requirement.
Sensing Algorithms for Bandwidth Efficient Edge Radars (SABER)
Status changed from Pre-Release to Open
Sensing Algorithms for Bandwidth Efficient Edge Radars (SABER)
New opportunity: Sensing Algorithms for Bandwidth Efficient Edge Radars (SABER)
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