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Theoretical model considering optimal ranging performance and energy efficiency for photon-counting lidars with
Applied Optics
|October 6, 2021
Summary
Optimizing photon-counting lidar for space missions involves balancing signal levels and detector numbers. Using multiple detectors effectively reduces ranging uncertainty, leading to improved accuracy for space-borne applications.
Area of Science:
- Remote Sensing
- Optical Engineering
- Photonics
Background:
- Space-borne photon-counting lidars face limitations in measurement frequency due to high orbital speeds.
- Ranging uncertainty, exacerbated by nanosecond pulse widths, significantly impacts overall ranging error.
- Photon-counting detectors exhibit dead-time effects, introducing ranging bias at higher signal levels.
Purpose of the Study:
- To develop a theoretical model for predicting photon-counting lidar ranging performance.
- To determine optimal signal levels and detector configurations for enhanced ranging accuracy.
- To provide guidance for designing and optimizing space-borne lidar systems.
Main Methods:
- Development of a theoretical ranging performance model for photon-counting lidar.
- Experimental validation using a four-photomultiplier tube photon-counting lidar system.
- Systematic testing across nine different signal levels to compare theoretical predictions with empirical data.
Main Results:
- Experimental results closely align with the proposed theoretical ranging performance model.
- An average residual error of 0.31 cm and error ratios below 10% were achieved.
- Employing multiple detectors minimizes total ranging error by balancing bias and uncertainty.
Conclusions:
- The theoretical model accurately predicts ranging performance and aids in system design optimization.
- An expected signal photon number of 0.5–1 per detector is recommended for space-borne lidar.
- A 4x4 detector array can achieve a total ranging error of approximately 5 cm under optimal conditions.

