LiDAR Receiving Control Method for Baseline Voltage Fluctuation Compensation
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
LiDAR systems face inaccurate sampling of echo signals due to baseline voltage fluctuations in the receiving circuit, leading to poor ranging performance.
Innovation Solution
A LiDAR receiving control method that determines echo characteristic values, calculates baseline voltage fluctuations, and adjusts the sampling threshold in real-time to compensate for these fluctuations, ensuring accurate sampling of echo signals.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If a fixed sampling threshold is used in the receiving circuit, then the device complexity is reduced, but the measurement precision deteriorates due to baseline voltage fluctuation causing inaccurate sampling of echo signals
Solution Approach 1:
The patent applies dynamics by transitioning from a fixed sampling threshold to a dynamically adjustable threshold that adapts to baseline voltage fluctuations. The sampling threshold is modified in real-time based on detected baseline variations, allowing the system to maintain measurement precision without excessive complexity through controlled adaptability.
Solution Approach 2:
The patent changes the sampling threshold parameter dynamically according to baseline voltage conditions. By detecting baseline fluctuations and adjusting the sampling threshold parameter accordingly, the system compensates for voltage variations and maintains accurate echo signal sampling without requiring complete system redesign.
2Measurement precision
If the sampling threshold is adjusted in real-time to compensate for baseline voltage fluctuation, then the measurement precision is improved, but the device complexity increases due to additional control mechanisms
Solution Approach 1:
The patent implements feedback by continuously monitoring baseline voltage levels and using this information to adjust the sampling threshold. The system detects baseline fluctuations, processes this feedback information, and modifies the sampling threshold accordingly, creating a closed-loop control mechanism that improves precision while managing complexity through intelligent feedback utilization.
Solution Approach 2:
The receiving circuit performs self-adjustment by automatically detecting its own baseline voltage fluctuations and compensating for them through threshold modification. The system serves itself by identifying performance degradation causes and implementing corrections without external intervention, reducing the need for complex external control mechanisms.
Data Source
AI summary
The embodiments of the present application disclose a LiDAR receiving control method, device, and LiDAR. The method first determines the echo characteristic value of the echo signals in the response period, then determines the baseline voltage fluctuation based on the echo characteristic value, next determines the target sampling threshold, and finally adjusts the threshold of the next response period according to the target sampling threshold. This receiving control method compensates for the sampling threshold, obtaining a compensated target sampling threshold, achieving accurate sampling of the echo signals, and improving ranging performance. This receiving control method adjusts the sampling threshold in real-time based on the impact of the received echo signals on the baseline voltage.