Research Article
Study on Electromagnetic Scattering Characteristics of Bodies of Revolution by Compressive Sensing
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@INPROCEEDINGS{10.1007/978-3-319-60753-5_18, author={Yanyan Zhu and Jie Fang and Yun Shi}, title={Study on Electromagnetic Scattering Characteristics of Bodies of Revolution by Compressive Sensing}, proceedings={Industrial IoT Technologies and Applications. Second EAI International Conference, Industrial IoT 2017, Wuhu, China, March 25--26, 2017, Proceedings}, proceedings_a={INDUSTRIALIOT}, year={2017}, month={9}, keywords={Bodies of revolution-method of moments Discrete wavelet transform Compressive sensing}, doi={10.1007/978-3-319-60753-5_18} }- Yanyan Zhu
Jie Fang
Yun Shi
Year: 2017
Study on Electromagnetic Scattering Characteristics of Bodies of Revolution by Compressive Sensing
INDUSTRIALIOT
Springer
DOI: 10.1007/978-3-319-60753-5_18
Abstract
Based on discrete wavelet transform (DWT), the discrete wavelet transform (DWT) is pre-processed on the basis of the Bodies of revolution-Method of Moments, and the underdetermined equation is constructed and solved by using the compressive perceptual method. In this method, non-zero lines are extracted from the sparse excitations of the wavelet coefficients, and a small-scale impedance matrix is formed to extract the impedance matrices, which reduce the memory consumption and improve the computational efficiency. This method of adding compression perception can systematically construct the corresponding underdetermined equations to ensure fast acquisition of the signal reconstruction solution.
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