G
Gao Benqing
Researcher at Beijing Institute of Technology
Publications - 36
Citations - 75
Gao Benqing is an academic researcher from Beijing Institute of Technology. The author has contributed to research in topics: Finite-difference time-domain method & Antenna (radio). The author has an hindex of 4, co-authored 36 publications receiving 70 citations.
Papers
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Proceedings ArticleDOI
A deductive method for antenna near-field computation in EMC prediction
Ma Lin,Gao Benqing +1 more
TL;DR: In this article, a method for the analysis of the near field of an antenna is presented; it can be used to deduce the parameters of antenna near field by specific parameters of the far field.
Proceedings ArticleDOI
A strategy for parallel implementation of the FDTD algorithm
TL;DR: This paper introduced a strategy for parallel implementation of the FDTD algorithm using a COW (cluster of workstations) parallel computing system that provides a solve-scheme for the EM computation of electrically large-sized complex objects and can be used in EMC analysis.
Proceedings ArticleDOI
Developing a kind of microstrip array antenna with beam squint
An Yi,Lv Xin,Gao Benqing +2 more
TL;DR: In this article, the amplitude distribution on the array's aperture is tapered from the center to the ends, and the aperture phase is shifted from one end to the other, which shows that the design is correct.
Proceedings ArticleDOI
A new FDTD algorithm - ADI/R-FDTD
TL;DR: In this paper, a modified finite-difference time-domain (FDTD) method is proposed, which inherits the advantages of both former methods, i.e., not only eliminating the restraint of the Courant-Friedrich-Levy (C-F-L) condition, with an efficient saving of CPU time, but also leading to a direct memory reduction of 33% in the storage of the field components.
Proceedings ArticleDOI
The analysis of several diffusers in a reverberation chamber by FDTD method
TL;DR: In this article, the effects of three types of acoustic diffusers on the field homogeneous characteristics in a reverberation chamber were investigated using the Finite-Difference Time Domain (FDTD) method.