In the planning phase, RMAP uses proven propagation models, computationally efficient surrogate modeling, and known or measured emitter locations to optimally determine radar locations and frequencies that minimize interference. In the operational phase, the RMAP sensor algorithm suite uses deep emitter characterization and online learning to identify signal interference and unoccupied frequency bands. RMAP is hardware-agnostic via a modular software architecture that accommodates custom, commercial-off-the-shelf (COTS), or existing Marine Corps sensor interfaces and can be executed on standard laptop computers.