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Study On The Algorithm Of Beacon Light Prediction And Traking In Satellite Laser Communication

Posted on:2017-04-29Degree:MasterType:Thesis
Country:ChinaCandidate:Z P ZhangFull Text:PDF
GTID:2308330509456753Subject:Physical Electronics
Abstract/Summary:PDF Full Text Request
In the process of intersatellite optical communication link, the two terminals need to track the opposite bacon light. If the background light of fixed stars suddenly comes into the visual field of optical communication system during the process, the bacon accuracy will decrease, which means that the background light will affect real-time tracking of bacon light. It is necessary to filter the background light of fixed stars real-timely and rapidly. This paper conducts research on this kind of problem occurred during the bacon stage.This paper compares image denosing technology of tracking preprocessing and three classic tracking algorithms, and conducts feasibility analysis of spectral filtering of bacon light facula image in CCD visual field in inter-satellite optical communication. This paper conducts the noise feature of fixed stars’ bias light noise which influence the tracking process of inter-satellite optical communication, while conducts the feasibility of spectral filtering of facula grayscale image and spectral filtering of centroid coordinate sequence. This paper presents a Centroid Coordinate Sequence FFT, which is a valid filtering method to filter the fixed star bias light noise based on its frequency-domain characteristics.This paper verifies the feasibility and tracking precision of Centroid Coordinate Sequence FFT by simulation, analyzes the incidence of tracking accuracy, analyzes the feasibility of rapid filtering in frequency domain of two aspects of bacon light characteristics, and analyzes the tracking precision of Centroid Coordinate Sequence FFT.This paper conducts experimental verification of the feasibility and tracking precision of Centroid Coordinate Sequence FFT. This paper provides the prediction results of tracking bacon light by least square method when the algorithm has no correction, and the improvements caused by Centroid Coordinate Sequence FFT with correction added during the simulated tracking stage of optical communication link. This paper validates the influences on tracking accuracy in the algorithm caused by different variables. By conducting statistical analysis of experiment results, this paper simplifies the correlated variables of Centroid Coordinate Sequence FFT, which will simplify the expression of Centroid Coordinate Sequence FFT.
Keywords/Search Tags:inter-satellite optical communication, beacon light, frequency domain characteristics, predictive tracking algorithm
PDF Full Text Request
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