A deep unfolding network that decomposes radio maps into distance and obstacle factors beats prior radio map estimation methods on the RadioMapSeer benchmark.
Theoretical analysis of the radio map estimation problem,
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RadioDUN: A Physics-Inspired Deep Unfolding Network for Radio Map Estimation
A deep unfolding network that decomposes radio maps into distance and obstacle factors beats prior radio map estimation methods on the RadioMapSeer benchmark.