asymptotic waveform evaluation
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Author(s):  
Juan Zheng ◽  
Lei Hong ◽  
Juanjuan Gu ◽  
Huimin Duan ◽  
Qian Zhang

In the engineering applications, the distribution of objects is mostly random. Therefore, scattering analysis of randomly distributed objects has been one of the important problems in broadband electromagnetic calculation field. To resolve the problem, the Asymptotic Waveform Evaluation technique in conjunction with Monte Carlo Method is presented. First, the stochastic distribution is modeled by the Monte Carlo Method, and then the Asymptotic Waveform Evaluation technique using Padé approximation is utilized to achieve the Radar Cross Section at a wide frequency band. Numerical results show that the Asymptotic Waveform Evaluation technique can solve the random distributed object problems efficiently and accurately.


2019 ◽  
Vol 2019 ◽  
pp. 1-6
Author(s):  
Meng Kong ◽  
Ming-Sheng Chen ◽  
Xin-Yuan Cao ◽  
Xian-Liang Wu

To reduce the computing resource of full-scale impedance matrix and its high-order derivatives in traditional Asymptotic Waveform Evaluation (AWE), compressive sensing (CS) is applied to AWE for fast and accurate frequency-sweep analysis of electromagnetic scattering problems. In CS framework, some prior knowledge is extracted by constructing and solving undetermined equation of 0-order surface induced current, so that coefficients about high-order induced current can be accurately obtained by the prior knowledge, and finally the wide-band radar cross section (RCS) is calculated. Numerical results of two-dimensional objects and bodies of revolution (BOR) were presented to the show the efficiency of the proposed method.


2016 ◽  
Vol 25 (10) ◽  
pp. 1650121 ◽  
Author(s):  
Jianfei Jiang ◽  
Zhigang Mao ◽  
Weiguang Sheng ◽  
Qin Wang ◽  
Weifeng He

On-chip global interconnects are becoming speed and power bottlenecks in state-of-the-art chips. Low-swing signaling is used to improve delay performance and reduce power consumption. This paper first performs a delay analysis for different low-swing circuits based on the Asymptotic Waveform Evaluation (AWE). In addition, new delay metrics are presented and analyzed. The new delay metrics demonstrate that optimal designs can be obtained in low-swing signaling. To verify our analysis, a simulation environment is established. The simulation results indicate that the optimal designs can increase the 3[Formula: see text]dB bandwidth of a wire by more than 40% in resistively driven or capacitively driven 10[Formula: see text]mm global links. Thus, these optimal design methods can effectively improve the bandwidth of global wires.


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