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Li Y.,The State Key Laboratory of Complex Electromagnetic Environmental Effects on Electronics and Information System | Li Y.,National University of Defense Technology | Hong L.,The State Key Laboratory of Complex Electromagnetic Environmental Effects on Electronics and Information System | Zhou M.,National University of Defense Technology | Chen X.D.,National University of Defense Technology
Control Engineering and Information Systems - Proceedings of the International Conference on Control Engineering and Information System, ICCEIS 2014 | Year: 2015

Based on the network BLT equation, combining aperture equivalence, electromagnetic field penetration and field-to-line coupling, this paper presents a new method to analyze the induced load responses arising from illumination by an incident field that penetrates through the aperture into the electrical system interior and the influence of radiation from the line currents on the shielding effectiveness of the cavity. © 2015 Taylor & Francis Group, London. Source


Yang J.,The State Key Laboratory of Complex Electromagnetic Environmental Effects on Electronics and Information System | Yang J.,Electronic Engineering Institute | Zhen G.,The State Key Laboratory of Complex Electromagnetic Environmental Effects on Electronics and Information System | Yin H.,The State Key Laboratory of Complex Electromagnetic Environmental Effects on Electronics and Information System | And 5 more authors.
Journal of Computational Information Systems | Year: 2013

Accurate channel estimation of Ultra-wideband (UWB) signal is important, due to its low power spectrum density and complicated transfer multi-path. Considering its wider band width, Compressed Sensing (CS) provides a feasible way of sub-sampling. Common projection matrices are highly relevant with UWB sparse transform matrix, This demanded higher compression ratio which means that sampling speed can not be lowered. To solve these problems, an CS-UWB channel estimation method based on devise adaptive projection matrix is proposed in this paper. Posterior probability density function controlled by hyper-parameters is set to each value in channel vector. Use its covariance matrix to compute new projection vector. The differential entropy of reconstruction value can be decreased. Experimental result shows that the proposed method can decrease the sampling speed notably compared to existing CS-UWB channel estimation method. Source

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