Improvement of range accuracy of range-gating laser radar using the centroid method

Area of Science:

• Optics and Photonics
• Remote Sensing Technology
• Signal Processing

Background:

• Range-gating laser radar (RLR) systems are crucial for distance measurement.
• Current RLR processing methods face limitations in achieving optimal range accuracy.
• The relationship between system parameters and accuracy requires further investigation.

Purpose of the Study:

• To propose an improved processing approach for RLR systems.
• To enhance the range accuracy of RLR by optimizing the slicing number.
• To establish a clear correlation between slicing number and range accuracy.

Main Methods:

• Developed a processing approach analyzing the relationship between range accuracy and slicing number.
• Segmented time-slice images based on an optimal slicing number.
• Processed segmented image sequences to extract object range information.

Main Results:

• The slicing number significantly impacts the range accuracy of RLR systems.
• An optimal slicing number was identified for maximizing range accuracy.
• Experimental validation confirmed the effectiveness of the proposed method.

Conclusions:

• The proposed processing approach effectively improves RLR range accuracy.
• Optimal system parameter selection, specifically the slicing number, is critical for high-precision distance measurements.
• This method offers a pathway to more accurate object detection in RLR applications.