Analyzing the performance of pseudo-random single photon counting ranging Lidar

Area of Science:

• Optics and Photonics
• Signal Processing
• Remote Sensing Technology

Background:

• Pseudo-random single photon counting ranging (PSPCR) Lidar systems offer advanced detection capabilities.
• Understanding the interplay between system parameters and performance is crucial for optimizing Lidar applications.

Purpose of the Study:

• To investigate the detection principle and performance metrics of PSPCR Lidar systems.
• To analyze the impact of key parameters on detection probability, single photon detection efficiency (SPDE), signal-to-noise ratio (SNR), and ranging error.

Main Methods:

• Derivation of detection probability and SPDE using statistical theory.
• Analysis of the effects of echo primary electrons and dead time on performance.
• Signal-to-noise ratio analysis using cross-correlation functions.
• Monte Carlo simulations for performance verification.
• Deduction of theoretical range error formula based on signal characteristics.

Main Results:

• Detection probability and SPDE increase with echo primary electrons, approaching saturation.
• Dead time significantly affects the number of detected codes and ranging performance, but has minimal impact on macro code detection probability with ample electrons.
• PSPCR Lidar demonstrates a satisfactory SNR even in high noise conditions, with SNR increasing with signal electrons and decreasing with noise.
• Reduced primary electron numbers or narrower code widths lead to smaller ranging errors.

Conclusions:

• The study provides a theoretical framework and simulation-based validation for PSPCR Lidar performance.
• Optimizing echo primary electron number and minimizing dead time are key to enhancing detection probability and ranging accuracy.
• PSPCR Lidar systems show robustness in noisy environments, with performance directly related to signal strength and noise levels.