Ambient Light Detection Circuit Using Threshold Comparison
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Solution Overview
Problem
Current LiDAR systems face challenges in improving their anti-sunlight noise capability while maintaining low cost and low power consumption, which affects the accuracy of their detection results in high-light and light-polluted environments.
Innovation Solution
A circuit and method that utilize a photosensitive component to convert light signals into current signals, which are then processed into digital signals without analog-to-digital converter (ADC) sampling, incorporating a digital processing unit to superimpose digital signals in time-aligned manner, thereby simplifying circuit design and reducing costs and power consumption.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional ADC sampling is used to detect ambient light, then detection accuracy is improved, but circuit complexity and power consumption increase
Solution Approach 1:
The patent extracts only the essential function of ambient light detection from the complete ADC sampling system. By removing the ADC component and using only the photoelectric conversion and threshold comparison functions, the circuit achieves adequate detection accuracy with significantly reduced complexity and power consumption.
Solution Approach 2:
The patent replaces expensive, high-precision ADC components with simpler, lower-cost circuit elements that provide sufficient performance for ambient light detection. The threshold comparison circuit uses basic electronic components rather than complex conversion hardware, reducing overall system cost and complexity.
2Measurement precision
If traditional ADC sampling is used to detect ambient light, then detection accuracy is improved, but power consumption increases
Solution Approach 1:
The patent removes the power-intensive ADC sampling function from the system, retaining only the essential photoelectric conversion and threshold comparison operations. This extraction eliminates unnecessary power consumption while maintaining sufficient detection accuracy for ambient light monitoring.
Solution Approach 2:
The circuit uses the inherent characteristics of the photosensitive component and simple voltage threshold comparison to achieve detection without requiring additional power-intensive processing. The system leverages the natural photoelectric conversion properties and basic electronic threshold detection to minimize power consumption.
3Measurement precision
If complex circuit design is used to improve anti-sunlight noise capability, then detection accuracy is improved, but manufacturing cost increases
Solution Approach 1:
The patent achieves anti-sunlight noise capability using inexpensive circuit components rather than expensive specialized hardware. The threshold comparison circuit and basic signal processing elements are much cheaper to manufacture than complex ADC-based systems, reducing overall manufacturing cost while maintaining detection accuracy.
Solution Approach 2:
The patent extracts only the essential noise rejection function from complex signal processing systems, implementing it through simple threshold comparison and basic filtering. This extraction maintains sufficient anti-sunlight noise capability while eliminating the need for expensive complex circuitry.
4Measurement precision
If ADC sampling is used to process light signals, then signal processing accuracy is improved, but device complexity increases
Solution Approach 1:
The patent extracts the essential signal processing function from the complete ADC sampling system, retaining only photoelectric conversion and threshold-based digital signal generation. This extraction maintains adequate signal processing accuracy for ambient light detection while eliminating the complexity of ADC hardware and associated processing.
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 approach enhances the LiDAR's ability to resist sunlight noise, improving detection accuracy and personal and property safety by effectively filtering out ambient light interference without increasing hardware complexity or costs.
Implementation Method 1
a photosensitive component, configured to convert a received light signal into a current signal
Data Source
AI summary
The present application relates to a circuit, a method, and a radar for detecting ambient light. The circuit comprises: a photosensitive element, which is configured to convert a received light signal into a current signal; an electrical signal conditioning circuit, coupled to the photosensitive element, which is configured to convert the current signal into a voltage signal; a demodulation processing unit, coupled to the electrical signal conditioning circuit, which is configured to convert the voltage signal into a digital signal based on a voltage threshold; and a digital processing unit, coupled to the demodulation processing unit, which is configured to process the digital signal to obtain ambient light information.