The Differential Absorption Lidar (DIAL) technique is one of the most effective methods for detecting atmospheric gases. It is based on the interaction between laser-emitted light and atmospheric molecules. The backscattered optical signal is converted into an electrical signal using photomultiplier tubes or other types of detectors. Two main detection approaches are commonly used: analog detection and photon-counting detection. While the analog mode is widely employed, it suffers from limited sensitivity. The photon-counting mode, although more suitable for detecting extremely weak signals, faces challenges in daytime measurements due to strong solar background noise. The main objective of this study is to evaluate the performance of the photon-counting technique to enable the DIAL system to detect extremely weak optical signals. To this end, modeling and simulation of the parameters influencing system performance have been carried out. Furthermore, the impact of using ultra-narrow band filter (UNBF) has been investigated and compared to that of conventional interference filter, with the aim of reducing background noise in daytime measurements and improving the transmission of the useful signal. The results show that the photon counting acquisition technique for a DIAL system or P-DIAL (Photon-counting DIAL) provides superior performance in terms of signal quality and measurement accuracy compared to analogue detection using an UNBF for noise limitation.
Rakotonirina et al. (Wed,) studied this question.
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