The Study Of Signal Processing Method And Visualizing Technology For Mie Lidar

With the development of modern industry and science technology, atmosphere environmental protection has already become a hot topic of discussion. The Mie scattering lidar, which takes as a powerful remote sensing for atmospheric pellet pollutant, has a capable of detecting the density change of the atmospheric pollutant with real-time. It is necessary and important to develop the signal processing method and the visualization technology of the Mie lidar with high accuracy for investigating the production, the distribution and the transmission characteristic of the aerosol.The main work and purpose of the study are to develop the data acquisition system for Mie lidar, and main content of the study includes the signal detection technology, the retrieval methods of the aerosol extinction, the program design of data visualization processing. Finally, experiment observations are used to confirm the feasibility of the data acquisition system.This paper includes four main sections; firstly, in view of the difficult of high accuracy signal extraction of lidar, the analysis based on Empirical Mode Decomposition (EMD) is firstly implemented to improve the signal-to- noise ratio (SNR) of laser backscattering signal, it allows unambiguous data reconstruction, and the results of simulation and experiment indicate that the algorithm is feasible; Secondly, A retrieval method was developed, based on the madaline artificial neural network theory to retrieve the aerosol extinction coefficient. Thirdly, based on the comparison of the different test results of lidar, the data processing and visualization algorithm are proposed and designed to improve the speed of data calculation, to reduce the storage space greatly and to improve the image quality, the experimental result has confirmed this algorithm feasibility. Finally, based on PC platform, the design and debugging of relating software based on PC platform are completed and its program has been applied in Mie lidar for observation of the aerosol profiles, the height of the atmospheric boundary layer and fog, etc.The signal processing method and the visualization technology proposed in this work also have the important reference value regarding other lidar information processing by changing some particular parameter establishments.