Dr. Shi-Rong Yin Profile

Dr. Shi-Rong Yin

at Univ of Electronic Science and Technology of China

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Proceedings Article | 5 October 2007 Paper

Numerical simulation for differential absorption lidar system

Wei-Ran Wang, Shi-Rong Yin

Proceedings Volume 6756, 67560H (2007) https://doi.org/10.1117/12.729445

KEYWORDS: Absorption, Atmospheric propagation, Atmospheric modeling, Data processing, Signal to noise ratio, Numerical simulations, LIDAR, Speckle, Turbulence, Sensors

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In the recent years, the most country in the word attach importance to the environmental and the protection of environmental doubly. The differential absorption lidar (DIAL)operating in the infrared wavelengths is a powerful standoff sensor for rapid remote detection of chemical emissions. It represents also a powerful technique for pollution monitoring of the atmosphere environment. Whereas, the numerical simulation system of DIAL has been shown that is a powerful tool for system design and performance evaluation and improved performance of system, along with research new information processing algorithm provided with the laboratory environment. In this Paper, a DIAL operating in the infrared(LWIR)numerical simulated system is established. It can simulate both traditional two-wavelength DIAL and multi-wavelength DIAL. It simulates the directional or scanning two operational modes. One can obtain information by it such as gas kind, concentration and distribution and verify the information processing algorithms visually. It can generate the return signals and can calculate their SNR value for various simulated environment and weather and system conditions visually. In the paper, first review laser light atmospheric propagation characteristic and then, the environmental models is ascertained including the effects of the atmosphere attenuates and scatters, the atmospheric turbulence and the roughness target producing reflective speckle and so on. Especially, the DIAL simulated system includes some new information processing algorithms of discriminating target gases and estimating their concentration. By now, the DIAL simulated system combined with this information processing algorithms has not been reported.

Proceedings Article | 3 October 2006 Paper

Improving estimation accuracy of gas concentration in differential absorption lidar

Shirong Yin, Weiran Wang

Proceedings Volume 6367, 63670T (2006) https://doi.org/10.1117/12.689366

KEYWORDS: Stationary wavelet transform, Filtering (signal processing), LIDAR, Absorption, Interference (communication), Electronic filtering, Monte Carlo methods, Remote sensing, Atmospheric turbulence, Target detection

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Differential absorption lidar (DIAL) has proved to be an important tool for remote sensing of trace gases in the atmosphere. As DIAL systems are affected by various noise factors such as atmospheric turbulence, target speckle, detection noise and so on, the measured concentration is corrupted by noise, and cannot be estimated accurately. However, when observations, predictions, estimations, and various covariance of Kalman filter algorithm are decomposed into lower resolution levels, due to filtering effects of wavelet transform, noise can be restrained while behavior of concentration is exposed. In this paper, a novel multiresolution Kalman filter algorithm is applied to estimate the path-integrated concentration (CL) from DIAL time series data where measurements are available at only one resolution level, and uses the stationary wavelet transform (SWT) as a means for mapping data between different resolution levels. The algorithm was evaluated for a variety of synthetic lidar data created with a program designed to model the various noise sources, including atmospheric turbulence, reflective speckle, and detection noise, which affect lidar signals. The simulation results show that our algorithm is effective in improving the measurement accuracy of gas concentration in DIAL and performs better than Kalman filtering and SWT visually and quantitatively.

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