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Analysis And Implementation Of UWB Motion Target Imaging Algorithm

Posted on:2017-09-17Degree:MasterType:Thesis
Country:ChinaCandidate:X M SunFull Text:PDF
GTID:2348330488962437Subject:Communication and Information System
Abstract/Summary:PDF Full Text Request
In recent years, with the continuous occurrence of bus fire, public safety issues have become one of the focuses of attention. At present, the station and the airport are equipped with security, through the security equipment to carry on the detection of passengers, to prevent passengers to bring security risks. However, considering the factors of the cost, the bus does not have the installation of these testing equipment, so it can not be a threat to the personal safety of passengers. In view of the present situation, the author has applied the Sichuan province science and technology project "the automatic detection and alarm system of the bus dangerous goods". On the basis of the project, this paper puts forward the theory of using ultra wide band technology to image processing, and it is the theoretical research part of the project.The paper describes the moving target imaging research background, research significance and current situation at home and abroad of UWB imaging technology, analysis of the ultra wideband theory knowledge, including the definition, main system design, technical characteristics and application analysis. In the ultra wideband theory based. Firstly, the echo of a moving target reflection established corresponding mathematical model, in a circular motion as the research object, establishing the mathematical model, on the influence of time delay and pulse width of the signal caused by were analyzed; Then according to the established mathematical model using ultra wideband detection technique of moving target detection, which includes traditional moving object detection algorithm and moving target detection algorithm based on ultra wideband and method combined with theoretical analysis and simulation results were compared, reflect the use of ultra wideband detection technology in moving target detection, can achieve better detection effect; after the detection of the target. Then, it focuses on the target imaging technique based on ultra wideband. In the imaging algorithm mainly imaging algorithm on the ellipse envelopes were analysis and implementation, through the analysis of the basic principle of the algorithm, summarize the algorithm in imaging process in the basic steps to facilitate the understanding and application of the algorithm is better, and then comparing with similar circular envelope algorithm performance on, establishing the simulation experiment and the different simulation results of the theory of verification, highlighting the algorithm in imaging of moving targets can achieve a good imaging effect; Finally, in the summary of the elliptic envelope line imaging algorithm, it is proposed that the proposed algorithm has shortcomings in practical application. In order to make up for this defect, a time reversal imaging algorithm based on ultra wide band is proposed. The algorithm can image multiple targets according to the different energy intensity of different targets. But in multiple targets echoes overlap. In this paper, the improved method, namely the use of keystone transform method on echo separation processing, on echo separation after the use of the algorithm can show a good image of the target, for target imaging domain segmentation, can use the elliptic envelope line imaging algorithm of different target boundary imaging effect.In this paper, we use the method of first detection after imaging. According to the imaging processing of multi target motion, the paper proposes the corresponding improved optimization scheme, firstly, the overlapping problem of echo is separated, and the combination of the two imaging algorithms is used to complete the imaging of multiple targets. In the use of ultra wideband technology of moving target imaging, different imaging methods have different advantages the advantages of two imaging algorithms in different aspects, coupled with the improved method, solve the multiobjective showed high resolution imaging results to the problem. Of course, in the study of the subject, the theoretical analysis of the verification of the use of more simulation experiments, the use of Matlab simulation tools to draw the corresponding simulation results. Through the analysis of this topic, on the one hand, the imaging algorithm of ultra wide band moving target is studied, on the other hand, it can provide a new idea for the next work.
Keywords/Search Tags:Ultra-wideband Technology, Moving Target Detection, Moving Target Imaging, Oval Envelope, Keystone Transform
PDF Full Text Request
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