Presents PReD, the first foundation model and 1.3M-sample dataset specifically for electromagnetic signal perception and decision-making.
March 31, 2026
Original Paper
PReD: An LLM-based Foundation Multimodal Model for Electromagnetic Perception, Recognition, and Decision
arXiv · 2603.28183
The Takeaway
This extends the multi-modal LLM paradigm to the radio frequency (RF) domain, covering everything from signal detection to anti-jamming decisions. It represents a major open release for a previously gate-kept domain of signal intelligence and communication.
From the abstract
Multimodal Large Language Models have demonstrated powerful cross-modal understanding and reasoning capabilities in general domains. However, in the electromagnetic (EM) domain, they still face challenges such as data scarcity and insufficient integration of domain knowledge. This paper proposes PReD, the first foundation model for the EM domain that covers the intelligent closed-loop of "perception, recognition, decision-making." We constructed a high-quality multitask EM dataset, PReD-1.3M, an