The RAPS Dome: A Distributed Multimodal Passive Sensor-Fusion Architecture for Edge-Networked Monitoring and Bayesian Decision Support

Abstract

This manuscript presents the RAPS Dome as a distributed, passive, multimodal sensor-fusion architecture for edge-networked monitoring and Bayesian decision support. The system extends the earlier Sensor Dome concept by combining distributed acoustic sensing (DAS), acoustic and infrasound arrays, encapsulated heterodyne interferometry, electro-optical/infrared (EO/IR) verification, and passive radio-frequency (RF) reception with a risk-aware Recursive Autonomous Projection System (RAPS) decision layer. The contribution is architectural and methodological rather than operational: the paper defines the signal-flow design, timing assumptions, adaptive fusion logic, risk-scoring equations, auditability requirements, governance extensions, and a staged validation protocol. All numerical quantities are treated as prospective design targets or literature-motivated feasibility values, not as field-validated performance claims. The RAPS layer is formulated as deterministic decision support operating on probabilistic inputs; it does not implement autonomous actuation, jamming, or closed-loop intervention. The proposed architecture is relevant to edge-networked computing, distributed sensing, cyber-physical monitoring, and intelligent decision-support systems. It provides a transparent basis for future simulation, pilot deployment, calibrated benchmarking, legal review, and comparative evaluation against null and single-modality baselines.