Signal Detection And Study Of Algorithm For Ranging Signal Of Sparceborne Laser Rangefinder

Spaceborne laser geodimeter works out of the atmosphere, far away from the ground, so the laser signal will be polluted by the noise; in addition, energy is a rare resource on the satellite, so the emission power of the Spaceborne laser geodimeter can not be high. Based on the two reasons above, the Signal Noise Ratio of the Spaceborne laser geodimeter is a little weak, leaving difficulties of detection and location to itself. So, the essence of distance measurement is the detection and location of weak signals.According to the objective of this thesis, it considers the confidence probability as the most significant criterion, complemented by other two criterions, expectations of error and output of Signal Noise Ratio, to elaborate the performance and application of cannon and new methods from the theory to simulation. Finally, this thesis lodges an integrated feasible project.Firstly, this thesis elaborates theories and simulations based on MATLAB of classical technologies of matched filter, accumulation of signals and Fourier transform. And then, explain the applied scope and treatment effect of these theories.Secondly, the thesis elaborated two new technologies: Wavelet and Empirical Mode Decomposition. For Wavelet, this article demonstrates its effect of denoising based on the simulation, the advantages comparing with the Fourier transform and its applied scope. For Emprical Mode Decomposition, this article demonstrates when can the Emprical Mode Decomposition reach the optimality conditions in this project and a refined method of the Emprical Mode Decomposition.Finally, this thesis considered the properties of every method and balances the advantages and disadvantages, lodging a relative optimal designation and discussed feasibility of this project.