Frequency Detection Pixel With Capacitive Noise Averaging
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Solution Overview
Problem
Existing frequency detection pixels for light signals, particularly those using FMCW methods, are hindered by photon noise, which interferes with photoconversion and degrades the quality of both frequency detection and visible light image capture.
Innovation Solution
The proposed pixel design incorporates multiple acquisition channels with non-pinned photodiodes, capacitive elements for noise averaging, and a control circuit to manage node potentials, effectively reducing photon noise and enhancing signal quality.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If frequency detection pixels are used to detect infrared signals, then frequency detection capability is improved, but the quality of visible light image detection deteriorates
Solution Approach 1:
The pixel is divided into multiple acquisition channels (first channel with first photodiode for infrared frequency detection, second channel with second photodiode for visible light detection). This segmentation allows each channel to specialize in its detection function, enabling the pixel to perform both infrared frequency detection and visible light imaging simultaneously without mutual interference, thus resolving the contradiction between frequency detection accuracy and visible light image quality
2Measurement precision
If photoconversion is performed in frequency detection pixels, then frequency detection is enabled, but photon noise interferes with the useful signal
Solution Approach 1:
Multiple acquisition channels are merged into a single pixel structure, where the first photodiode and second photodiode share the same pixel infrastructure including readout circuits and control logic. This merging allows the pixel to simultaneously perform infrared frequency detection and visible light detection while using common resources, improving frequency detection capability without proportionally increasing noise, as the channels can be processed and differentiated in the readout stage
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
This design significantly reduces noise components relative to the useful signal, improving the accuracy of frequency detection and maintaining image quality in mixed infrared and visible light environments.
Implementation Method 1
the photoconversion that takes place in these pixels to obtain a photo-current at the frequency of the signal received
Implementation Method 2
a capacitive element coupling the photodiode to the first node
Data Source
AI summary
A pixel including a first node, a second node configured to receive a first DC potential, and a plurality of acquisition channels each including: a photodiode adapted to detect radiation in a first wavelength range; a capacitive element coupling the photodiode to the first node; and a resistive element coupling a first terminal of the photodiode to the second node.


