Organic Photoelectric Receiver With AI Demodulation for Signal Interference
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Solution Overview
Problem
As pixel sizes in image sensors decrease, silicon photodiodes suffer from reduced light absorption, leading to sensitivity deterioration, necessitating the use of organic materials that can selectively absorb light in specific wavelength regions to replace photodiodes and color filters for improved sensitivity and integration.
Innovation Solution
An optical communication system utilizing an organic photoelectric conversion device with a plurality of active layers configured to convert optical signals into electrical signals, employing a trained artificial neural network for demodulation and an SINR estimator to adjust equalization parameters, and a pre-equalizer to enhance signal quality.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If pixel size is decreased to increase resolution, then image quality improves, but light absorption area decreases causing sensitivity deterioration
Solution Approach 1:
The patent changes the material parameter from silicon to organic materials with different optical properties. Organic materials have higher absorption coefficients and can be tuned to absorb specific wavelength regions, compensating for the reduced absorption area in smaller pixels while maintaining or improving sensitivity.
Solution Approach 2:
The patent employs composite structures including multiple organic active layers with different wavelength absorption characteristics, combined with electrode structures and charge transport layers to create an integrated photoelectric conversion device that achieves both high resolution and sensitivity.
2Reliability
If silicon photodiodes are used for photoelectric conversion, then device maturity is high, but sensitivity is limited due to fixed absorption characteristics
Solution Approach 1:
The patent divides the photoelectric conversion function into multiple organic active layers, each tailored to absorb specific wavelength regions. This segmentation allows each layer to be optimized for particular wavelengths, achieving both high sensitivity in targeted regions and broad adaptability across the spectrum.
Solution Approach 2:
Different organic materials with specific absorption characteristics are placed in different locations/layers of the device structure. Each layer has locally optimized properties for its designated wavelength range, enabling the overall device to achieve both high sensitivity and wavelength-specific adaptability.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
The system improves signal bandwidth and reduces interference, enhancing the operational performance of optical communication by optimizing signal transmission and reception using organic photoelectric conversion devices.
Implementation Method 1
an organic photoelectric conversion device configured to convert optical signals received from a transmitter into an electrical signal
Data Source
AI summary
A receiver of an optical communication system includes an organic photoelectric conversion device configured to convert optical signals received from a transmitter into an electrical signal; and a demodulator configured to input the electrical signal to a trained artificial neural network and demodulate the electrical signal based on an output of the trained artificial neural network.