LiDAR Range-Gating Circuit Phase-Shift Noise Reduction
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Solution Overview
Problem
Conventional LiDAR systems face challenges in high-noise outdoor environments, such as automotive applications, due to noise-blocking effects and background clutter-edges, which reduce the signal detection rate and increase false detection rates, especially in daylight conditions.
Innovation Solution
The LiDAR system employs a range-gating technique with a phase-shifting waveform, using a controller unit and a gating circuit to adapt the phase-delay parameter based on background noise levels, allowing for interleaving of range-gating waveforms with pseudo-random or random phase delays to improve sensitivity and reduce noise interference.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional range-gating techniques are used with fixed gating windows, then the system can cover complete operational range, but noise-blocking effects and background clutter-edges occur that reduce signal detection rate and increase false detection rates
Solution Approach 1:
The patent implements dynamic range-gating by making the gating window width variable rather than fixed. The controller adjusts the gating window width dynamically based on the detected range to target object, allowing the system to optimize the gating window size for each specific measurement scenario. This dynamic adjustment prevents noise-blocking effects while maintaining reliable signal detection across varying operational conditions.
Solution Approach 2:
The system changes the gating window width parameter adaptively based on the measured range. By modifying this critical parameter according to the target distance, the system achieves uniform sensitivity across the complete operational range while minimizing background clutter-edges and noise interference that plague conventional fixed-window approaches.
2Reliability
If gating window width is increased to reduce noise-blocking effects, then signal detection rate improves, but background clutter-edges and false alarms increase
Solution Approach 1:
The system dynamically adjusts the gating window width based on the detected range to the target object. This dynamic control allows the gating window to be wide enough to capture sufficient signal photons while remaining narrow enough to exclude background clutter and prevent false alarms, thereby simultaneously improving signal detection rate and reducing background clutter-edges.
3Object-affected harmful factors
If multiple measurements are performed to cover complete operational range with short gating windows, then noise interference is reduced, but the number of measurements required increases substantially
Solution Approach 1:
By dynamically adjusting the gating window width based on the detected range, the system reduces the total number of measurements needed. The adaptive gating window allows each measurement to be more effective, capturing sufficient signal while excluding noise, thereby reducing the measurements required to achieve reliable detection compared to using fixed short gating windows.
4Ease of operation
If conventional fixed gating windows are used, then system operation is simplified, but uniform sensitivity across detection range cannot be achieved
Solution Approach 1:
The system achieves uniform sensitivity across the complete operational range through dynamic adjustment of the gating window width. The controller automatically adapts the gating parameters based on the detected range, ensuring consistent detection performance without requiring complex manual configuration or multiple fixed gating schemes.
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 signal detection rate, reduces false alarms, and extends the maximum operational range of the LiDAR system by minimizing background noise clutter-edges and maintaining uniform sensitivity across the detection range.
Implementation Method 1
A release of charge carrier can be due to the absorption of the photon (e.g., signal or noise)
Implementation Method 2
By biasing a device above a breakdown voltage, even a single released charge carrier (e.g., an electron or 'hole') can result in a self-sustained avalanche
Implementation Method 3
The system determines the distance to the target based on one or more characteristics associated with the returned light. For example, the system may determine the distance to the target based on the time-of-flight of a returned light pulse
Data Source
AI summary
Embodiments of a system and method are disclosed. In an embodiment, a LiDAR (Light Detection and Ranging) system that can include a sensor circuit comprising a controller unit, a transmitter, a gating circuit, and a receiver element, wherein the gating circuit is connected to the controller unit and to the receiver element, wherein signals detected by the sensor circuit correspond to at least one physical object located in an operating region with respect to a location of the sensor circuit and based on multiple measurements. The gating circuit can range-gate the receiver element based on a range-gating waveform, and the controller unit can provide a phase-delay parameter for phase shifting the range-gating waveform with different phase values relative to a light signal transmitted by the transmitter for different measurements by the sensor circuit.