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Communication Dans Un Congrès Année : 2023

Noise-Adaptive and Task-Specific Coherent Illuminations with a Programmable-Metasurface Imager

Résumé

We study the impact of noise on the end-to-end optimization of multi-shot single-detector meta-imagers with respect to a specific information-extraction task. Latency constraints and noise can severely limit the total amount of information that can be extracted from the scene. Therefore, the ability to predominantly extract task-relevant information is a strong advantage. Considering dynamic metasurface antenna (DMA) hardware in a prototypical object-recognition task, we observe remarkable performance improvements over conventional meta-imaging with random DMA configurations. Moreover, we analyze the learned sequence of scene illuminations and discover intuitively understandable trends in its dependence on latency constraints and the noise level.
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Dates et versions

hal-04222997 , version 1 (29-09-2023)

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Chenqi Qian, Philipp del Hougne. Noise-Adaptive and Task-Specific Coherent Illuminations with a Programmable-Metasurface Imager. 17th European Conference on Antennas and Propagation (EuCAP), Mar 2023, Florence, Italy. ⟨10.23919/EuCAP57121.2023.10133280⟩. ⟨hal-04222997⟩
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