A novel on-chip programmable photonic processor based on an arrayed Mach-Zehnder interferometer (MZI) with a forward transmission structure is proposed and demonstrated for real-time multipath interference and self-interference cancellation of wireless microwave communication signals. The proposed technique is experimentally validated, showing its capability to mitigate the multipath interference in an amplitude-shift keying (ASK) signals to achieve error-free transmission. In addition, the programmable photonic processor can also be configured to achieve self-interference cancellation between transmitting and receiving antennas for up to 9 dB with signal bandwidth from 6.2 to 7.0 GHz. These experimental results confirm the feasibility of the on-chip signal processor and provide new insights for future communication signal processing research.
We present an on-chip optical matrix operator designed for multichannel 1×1 optical convolution, which is deployed in a deep residual U-Net for biomedical image segmentation. The integrated optical matrix operator is fabricated on a silicon-on-insulator (SOI) chip that supports fully reconfigurable 5×5 matrix operation and is used in a deep residual U-net that requires 3-channel 1×1 convolution operation. The multichannel optical 1×1 convolution operation is experimentally validated by using the deep residual U-Net to achieve precise segmentation of pneumonia lesion region in lung CT images. The on-chip optical matrix operator features high scalability and large-scale parallel operation and may find great application in future optical neural networks.
We propose a novel image-like channelization method that utilizes a convolutional recurrent neural network (CRNN) for channel synthesis to reduce the bandwidth requirements of the electrical hardware. In this study, the spectrum of a 30-GBaud QPSK signal is spectrally sliced and received by four low-speed coherent receivers based on a conventional coherent optical communication system. After the recovery of the trained CRNN, the average error vector magnitude (EVM) of the 30-GBaud baseband signal is improved from over 60% by uncorrected channel synthesis to around 15%.
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