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Scattering Centers Extraction Of Radar Target Based On Compressed Sensing

Posted on:2015-03-26Degree:MasterType:Thesis
Country:ChinaCandidate:X HeFull Text:PDF
GTID:2308330473952053Subject:Electromagnetic field and microwave technology
Abstract/Summary:PDF Full Text Request
Scattering centers extraction of radar target is an important basic issue in the field of radar automatic target recognition. Accuracy and efficiency of it are of vital importance, which affect radar target recognition performance. Therefore, radar target scattering centers extraction technique is becoming a hotspot.In this paper, an efficient numerical method based on integral equations(IE) is used to obtain reliable scattering data by solving electromagnetic scattering problems. Meanwhile, compressed sensing(CS) from the information theory is also introduced in this method to show efficient and accurate of radar scattering centers extraction.This paper focuses on the study of combination of incident plane waves. Using a finite number of selected incident plane waves, the number of incident angle of monostatic is reduced greatly, and the calculation speed of monostatic scattering is accelerated. Through combination of a finite number of incident plane waves, CS can recover the monostatic radar cross section(RCS) of the target effectively.Moreover, the multilevel fast multipole algorithm(MLFMA) is also introduced to speed up the matrix-vector multiplications in the iterative procedure, decreasing the complexity from O(N2) to O(NlogN). The recovery algorithm of CS can get results of the original problems by a finite number of the combination incident plane wave. Therefore, monostatic scattering problems are solved by MFLMA and CS technology efficiently. In this paper, the angles of incidents are reduced by CS technology in Monostaic problem. On the other hand, in order to reduce the complexity, the characteristics basis function method(CBFM) is used to reduce the number of basis function and to improve the computational efficiency. The model of a combination of incident excitations is also used to generate characteristic basis functions(CBFs) for accelerating successfully. This paper proposed a method to combine CS technology and high-order method of moments(MoM), its purpose is to solve wide-angle monostatic scattering problems. RWG or CRWG are used as basis function, the surface of taget should be splited by length of 1/10 wavelength to 1/8 wavelength generally, but high-order vector basis function is used to simulate the surface current in a big element in high-order MoM method. The mesh size could be up to 3 times of RWG or CRWG’s. It is good to reduce the number of unknowns and the number of incident plane waves.Finally, the extraction scattering centers of the radar target is realized using the combination of CS and MLFMA. The numercal results show that this method performs well in extracting scattering centers, improving the efficiency and accuracy of it. For scattering problems of single frequency, the calculation efficiency can be increased 28% at most.
Keywords/Search Tags:Multilevel Fast Multipole Algorithm, Characteristic Basis Function Method, High Order Method of Moment, Compressed Sensing, Scattering Center
PDF Full Text Request
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