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The Research Of Characteristic Basis Function Method Improved By Compressed Sensing

Posted on:2014-02-26Degree:MasterType:Thesis
Country:ChinaCandidate:T JinFull Text:PDF
GTID:2230330395483821Subject:Communication and Information System
Abstract/Summary:PDF Full Text Request
Compressed sensing (Compressive Sensing CS) from the date of birth, showing superior vitality,from as little as possible observational data as much as possible of the original information is thebasic idea, so it goes beyond the traditional sense of information theory and compression theory, hasaffected more than half of the application class science.However, solving more incentive electromagnetic scattering problem in the use of the method ofmoments or electromagnetic algorithm based on the method of moments (such as the fast multipolemethod) must be counted individually, and then interpolation and approximation obtained.To get theproblem in terms of the goal of large-size multi-stimulus response, will produce large amounts ofcomputer resources consuming.In this paper, the method of moments in the incident electromagnetic wave direction and theimpedance matrix independent of compressed sensing theory to design a new excitation source richin angle or polarization information, compared with the traditional one by one incentive calculationmethod, the method includes a variety of incentives, we calculate the size of the integral equation ofthe induced current is greatly reduced. Finally, we use the method of orthogonal matching pursuit(OMP) to recover the value of the scattered field induced current.Characteristic basis function method is achieved by constructing the marco function matrix toreduce the size of the matrix, many scholars at home and abroad to expand and enrich thecharacteristic basis function method (Charaeteristie Basis Funetion Method, CBFM) has greatlyexpanded its application. Which should be considered in the calculation of the subdomain featurebasis function incident from different angles, polarization irradiation, such incentive problems, wecan take advantage of improved multi-excitation of the compressed sensing algorithm for analysis.Thus this paper, the characteristics of the improved compressed sensing basis function method,two-dimensional and three-dimensional objects scattered field were analyzed, the results show that,compared to the traditional method, this method has obvious advantages.
Keywords/Search Tags:Compressed sensing, characteristic basis function mothod, method of moments, orthogonalmatching pursuit
PDF Full Text Request
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