Title :
The structure of the sparse basis function in compressive sensing for fast analysis of wide-angle monostatic scattering problems
Author :
Hong-mei Du ; Ming-Sheng Chen ; Xian-liang Wu
Author_Institution :
Key Lab. of Intell. Comput. & Signal Process., Anhui Univ., Hefei, China
Abstract :
In the theory of compressive sensing, the selection of the basis functions directly affects the sparse transformation, observation number and reconstruction accuracy. In this paper, we introduce the structure of three sparse basic functions, which are used to analyze the electromagnetic scattering problems over a wide incident angle by the method of moment and compressive sensing. According to the characteristics of the induced current of wide angle, the best basic function is selected. Compared with the DCT, the accuracy of the reconstruction for different shape object are improved and the observation number reduces about 50%.
Keywords :
compressed sensing; discrete cosine transforms; electromagnetic wave scattering; method of moments; signal reconstruction; DCT; compressive sensing; electromagnetic scattering problem; method of moment; observation number; reconstruction accuracy; sparse basis function structure; sparse transformation; wide-angle induced current characteristic; wide-angle monostatic scattering problem; Accuracy; Chebyshev approximation; Compressed sensing; Current measurement; Discrete cosine transforms; Equations; Mathematical model;
Conference_Titel :
Microwave and Millimeter Wave Technology (ICMMT), 2012 International Conference on
Conference_Location :
Shenzhen
Print_ISBN :
978-1-4673-2184-6
DOI :
10.1109/ICMMT.2012.6230147
