Sharif University of Technology Scientia Iranica 1026-3098 Articles in Press 2026 06 27 Advanced Noise and Interference Suppression Techniques for Pulsed Light Detection and Ranging Sensors in Automotive Urban-Driving Applications 24251 10.24200/sci.2026.68100.11035 EN Sadra Tafaghodi Jami Department of Electrical Engineering, Sharif University of Technology, Tehran, Iran Department of Electronic and Computer Engineering, The Hong Kong University of Science and Technology, Hong Kong 0000-0002-9863-4022 Ali Fotowat-Ahmady Department of Electrical Engineering, Sharif University of Technology, Tehran, Iran 0000-0002-7217-9973 Jie Yuan Department of Electronic and Computer Engineering, The Hong Kong University of Science and Technology, Hong Kong Journal Article 2025 11 13 This paper explores advanced techniques for noise and interference suppression in pulsed light detection and ranging (LiDAR) sensors, with a focus on automotive urban-driving applications. In complex urban scenarios, LiDAR performance is challenged by strong ambient light, dominated by sunlight, and interference from nearby sensors. To address these issues, circuit- and system-level strategies are developed to enhance photon detection reliability, mitigate background noise, and suppress inter-LiDAR interference while maintaining high timing precision and power efficiency. The proposed methods are evaluated through theoretical analysis, simulations, and experimental measurements using a custom-fabricated single-photon avalanche diode (SPAD)-based sensor chip in 180-nm HV CMOS technology. Results demonstrate significant enhancements in noise and interference resistance, ranging accuracy, and robustness under illumination levels typical of daytime urban environments. The system enables 20-fps depth imaging at distances up to 34 m under 79-klux background illumination, and accurate single-point target detection up to 100 m under 103-klux background illumination. These advances pave the way for reliable and scalable LiDAR systems for autonomous and assisted driving in dynamic urban settings. https://scientiairanica.sharif.edu/article_24251_e2d95a06ee4545b3dcc9c66d92a1efb7.pdf