This Challenge notice is issued under the Innovation for Defence Excellence and Security (IDEaS) Program Call for Proposals (CFP) Call 006 (W7714-248676/A).
Solicitation Documents reference: See “Bidding details” section.
*For additional general information on the IDEaS Program, visit: https://www.canada.ca/en/department-national-defence/programs/defence-ideas.html
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This challenge is open to receive proposals for Component 1a, Component 1b and Component 2. Proposed solutions that fall within technology readiness levels (TRL) 1-9 can be submitted to this challenge.
Steps to apply:
Step 1: read this challenge
Step 2: read the Call for Proposals : See “Bidding details” section
Step 3: propose your solution here : https://defence-innovation-portal.my.site.com/
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Maximum Funding and Performance Period
Multiple contracts could result from this Challenge.
The individual maximum contract funding available under Component 1a (TRL 1 to 3) is up to $250,000 CAD (excluding applicable taxes) for a maximum performance period of up to 6 months.
The maximum individual contract funding available under Component 1b (TRL 4 and 5) is up to $1,500,000 CAD (excluding applicable taxes) for a maximum performance period of 12 months.
The maximum individual contract funding available under Component 2 (TRL 6 to 9) is up to $5,000,000 CAD (excluding applicable taxes). The period of performance will be determined at the time of contract negotiation.
The maximum individual contractual funding and the maximum performance period offered under Component 3 will be determined by Canada at the time of contract negotiation.
This disclosure is made in good faith and does not commit Canada to contract for the total approximate funding.
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Challenge Details
Challenge Title: W7714-248676/008 - Code meets combat - Architecting the future of electromagnetic spectrum superiority
The Department of National Defence (DND) and the Canadian Armed Forces (CAF) are seeking innovative solutions to enable precision planning of offensive electronic warfare (EW) operations, while ensuring that friendly forces are not disrupted by electromagnetic spectrum (EMS) fratricide, which is the accidental interference with their own electronic signals. This challenge calls for the development of a next-generation analytic EMS management system.
Background and context
Modern military operations are increasingly dependent on EMS for communication, intelligence, surveillance, reconnaissance, and targeting. As cyber and electronic warfare become more intertwined, military forces face significant challenges in maintaining control over the EMS while ensuring operational effectiveness.
The current approach to EMS management is largely static and relies on manual deconfliction to prevent interference between different users or systems, making it slow, inefficient, and incapable of adapting to the dynamic nature of modern conflicts. To ensure dominance in future conflicts, modern forces require a next-generation, signals-analysis-based EMS management system that provides real-time situational awareness of the electromagnetic environment. Those systems need to be capable of integrating friendly, enemy, and neutral forces’ activities into a single, unified recognized electromagnetic picture (REMP), enabling precision planning for operations making use of the EMS while simultaneously preventing disruption to friendly forces. Current systems lack the ability to dynamically detect and respond to real-time threats and opportunities, leading to increased vulnerabilities and inefficiencies.
Hence, next-generation EMS management systems could leverage advanced signal analytics – including AI, machine learning, deep learning, and rule-based methods – to continuously recognize patterns, detect anomalies, and predict threats so that forces can rapidly respond to emerging challenges, reduce vulnerabilities, and maintain control of the electromagnetic environment.
The ongoing war in Ukraine has demonstrated the consequences of inadequate EMS management in a highly contested battlespace. Both Ukrainian and Russian forces have employed extensive EW and cyber capabilities to disrupt communications, Global Positioning System (GPS) signals, and drone operations. The result has been degraded command and control (C2), loss of situational awareness, and reduced operational tempo. With no real-time REMP, forces on both sides have struggled with unintentional self-jamming and inefficient EMS usage.
Addressing this capability gap is essential as adversaries continue to evolve their use of the EMS. The future battlefield will be characterized by multi-domain operations where air, land, sea, space, and cyber forces must coordinate seamlessly. Without coordinated, responsive EMS management, friendly forces will struggle to maintain operational coherence in environments where EMS congestion, electronic attack, and cyber threats are constant. By developing an analytic EMS management system capable of operating in these complex electromagnetic environments, defence forces can ensure superiority in an era where control of the EMS is critical to modern warfare.
Essential outcomes
Proposed solutions must demonstrate the following:
• Provide near-real-time (sub-minute latency) visualization and cognitive analysis to understand and predict electromagnetic activities, including signal classification and anomaly detection;
• Provide decision-ready information in support of spectrum deconfliction and decision-making;
• Be developed using an open-architecture approach to ensure interoperability, modularity, and ease of integration with existing and future systems; and,
• Be capable of analyzing data from across the EMS, including radio frequency, infrared, and visual bands, and present the information in a manner that prevents operator cognitive overload and supports effective decision making.
Desirable outcomes
Proposed solutions should include capabilities and considerations such as, but not limited to, the following:
• Support for coordination between EW and cyber forces, aligning offensive and defensive operations to maximize effectiveness;
• Resilience to maintain reliable positioning, navigation, and timing (PNT) in Global Navigation Satellite System (GNSS)-denied environments, ensuring continuous operations in the face of adversary jamming;
• Analysis of emerging EW threats, including GNSS jamming (such as signal denial, spoofing, and meaconing), as well as traditional communication jamming and interception, to ensure system resilience and operational continuity;
• Dynamic adaptation to threats through the optimization of spectrum usage to ensure resilient communications.
