Antenna near-field data extrapolation in source reconstruction methods using BP network

The source reconstruction method (SRM) can realize the antenna near-field to far-field transformation accurately, but it still has the problem of high computational cost of near-field data. To solve this problem this article utilizes backward propagation (BP) network to extrapolate the near-field data. When acquiring the antenna near-field data, only 50% of the near-field data is calculated, and the rest of near-field data is predicted using the BP network. Simulation results show that the error of the far-field extrapolation results obtained using the predicted near-field data is less than 2dBi, which verifies the effectiveness of this method.

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Published
2024-08-16
DOI
https://doi.org/10.1109/aces-china62474.2024.10700001
Primary Topic
Speech and Audio Processing
Type
article
Field-Weighted Citation Impact
0.00

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article

Antenna near-field data extrapolation in source reconstruction methods using BP network

Juan Chen, Lingpu Zhang, Ao Peng
Speech and Audio Processing
article

Antenna near-field data extrapolation in source reconstruction methods using BP network

Juan Chen, Lingpu Zhang, Ao Peng
article en

Abstract

The source reconstruction method (SRM) can realize the antenna near-field to far-field transformation accurately, but it still has the problem of high computational cost of near-field data. To solve this problem this article utilizes backward propagation (BP) network to extrapolate the near-field data. When acquiring the antenna near-field data, only 50% of the near-field data is calculated, and the rest of near-field data is predicted using the BP network. Simulation results show that the error of the far-field extrapolation results obtained using the predicted near-field data is less than 2dBi, which verifies the effectiveness of this method.

Xi'an Jiaotong University (CN)
Research and Development
Openalex Percentile: Top 82%
Speech and Audio Processing
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