Paper
31 August 2009 Weak signal detection system and noise analysis for aerosol detection lidar
Zong-jia Qiu, Si-ying Chen, Yin-chao Zhang, Yu-zhao Wang, Guo-qiang Ni
Author Affiliations +
Proceedings Volume 7382, International Symposium on Photoelectronic Detection and Imaging 2009: Laser Sensing and Imaging; 73824R (2009) https://doi.org/10.1117/12.836669
Event: International Symposium on Photoelectronic Detection and Imaging 2009, 2009, Beijing, China
Abstract
The information of location and scattering intensity of the target can be detected by lidar system. The physical characteristics of the target can be retrieved from the scattering intensity. Since the corresponding relationship between the echo signal intensity and the detection range requires to be measured accurately, a weak signal detection system of lidar is needed, with strong electromagnetic immunity, high sensitivity and wide dynamic range. In this paper, firstly, various characteristics of echo signals obtained by aerosol detection lidar, including the signal intensity and frequency spectrum are analyzed. Secondly, the influencing factors associated with those signal characteristics, such as photoelectric detector response time and the dynamic range, are also described. At last, a signal-to-noise ratio model for lidar is established. The influencing factors of the photomultiplier tube shot noise, dark current noise, and background radiation noise to the final SNR can be assessed. Meanwhile, some effective ways to reduce the interference noise are discussed.
© (2009) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Zong-jia Qiu, Si-ying Chen, Yin-chao Zhang, Yu-zhao Wang, and Guo-qiang Ni "Weak signal detection system and noise analysis for aerosol detection lidar", Proc. SPIE 7382, International Symposium on Photoelectronic Detection and Imaging 2009: Laser Sensing and Imaging, 73824R (31 August 2009); https://doi.org/10.1117/12.836669
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KEYWORDS
LIDAR

Signal to noise ratio

Signal detection

Aerosols

Sensors

Atmospheric modeling

Interference (communication)

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