Implementation of Large Field-of-View Detection for UWOC Systems Based on a Diffractive Deep Neural Network
IEEE Photonics Journal(2023)
摘要
The link alignment in underwater wireless optical communication (UWOC) systems is a knotty problem. The diffractive deep neural network (D
2
NN) has shown great potential in accomplishing tasks all optically these years. In this paper, a 6-layer D
2
NN is proposed to alleviate the link alignment difficulties in UWOC systems. Simulation results demonstrate that the proposed method can focus incident light with tilt angles from 0° to 60° into a 6.25% area of the detection plane with an average focusing efficiency of 93.15%. Extra simulations further reveal that more layers lead to a sustained performance improvement before reaching a bottleneck, and the D
2
NN can achieve large field angle focusing within a certain focusing area. The proposed receiver design, which can be highly integrated with detectors, holds promise to realize reliable link establishment in UWOC systems in the future.
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关键词
Diffractive deep neural network,underwater wireless optical communication,optical computing
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