Dynamic Threshold Ranging Device for LIDAR Noise Reduction
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Solution Overview
Problem
LIDAR systems face challenges in measuring farther distances due to noise interference, which affects the signal-to-noise ratio and leads to false alarm noise, limiting the measurement range.
Innovation Solution
A ranging device with a threshold determination circuit that dynamically adjusts or selects comparison thresholds based on threshold-influencing factors such as ambient light noise, electronic noise, and detection channel differences to optimize the signal-to-noise ratio and prevent noise from triggering false alarms.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If a fixed comparison threshold is used in the detection channel, then the device complexity is reduced, but the measurement precision deteriorates due to noise interference and false alarms
Solution Approach 1:
The patent implements dynamic threshold adjustment by determining comparison thresholds based on detected noise levels. The threshold determination circuit dynamically adapts the comparison threshold according to the actual noise environment, transforming a static threshold system into a dynamic one that responds to changing conditions, thereby improving measurement precision without excessive complexity increase
Solution Approach 2:
The patent employs feedback mechanisms where the detection channel monitors noise levels and feeds this information back to the threshold determination circuit. This feedback loop enables the system to automatically adjust the comparison threshold based on real-time noise conditions, resolving the contradiction between fixed threshold simplicity and adaptive precision
2Reliability
If the comparison threshold is increased to reduce false alarms, then the reliability is improved, but the measurement precision deteriorates as weak signals are missed
Solution Approach 1:
The patent changes the parameter of comparison threshold from a fixed value to a dynamically adjusted value based on noise levels. By modifying this key parameter adaptively, the system achieves both high reliability (reduced false alarms when noise is high) and high measurement precision (sensitivity to weak signals when noise is low), resolving the contradiction between these two performance aspects
3Measurement precision
If dynamic threshold adjustment is implemented to improve measurement precision, then the measurement precision is improved, but the device complexity increases due to additional threshold determination circuits
Solution Approach 1:
The patent performs preliminary noise detection and threshold determination before the actual ranging measurement. By preparing the optimal comparison threshold in advance based on noise characterization, the system achieves high measurement precision without adding complex real-time adjustment mechanisms during the critical measurement phase
Solution Approach 2:
The threshold determination circuit uses the detection channel itself to provide noise level information for threshold adjustment. The system serves itself by utilizing its own operational data (noise levels from the detection channel) to configure its own parameters (comparison thresholds), reducing the need for external control systems and minimizing additional complexity
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 solution enhances the signal-to-noise ratio, allowing for the measurement of farther distances by dynamically setting or selecting thresholds, reducing false alarms and increasing the system range in various environmental conditions.
Implementation Method 1
The detection channel is configured to receive a light pulse signal reflected by an object, convert the light pulse signal into an electrical signal
Data Source
AI summary
A ranging device includes a threshold determination circuit and a detection channel. The threshold determination circuit is configured to determine a candidate comparison threshold according to a threshold-influencing factor. The detection channel is configured to receive a light pulse signal reflected by an object, convert the light pulse signal into an electrical signal, compare the electrical signal with the candidate comparison threshold, obtain time information of the electrical signal triggering the candidate comparison threshold, and determine a distance between the object and the ranging device according to the time information.