基于时间调制的dnn测向

2020 IEEE International Symposium on Antennas and Propagation and North American Radio Science Meeting Pub Date : 2020-07-05 DOI:10.1109/IEEECONF35879.2020.9329900

Donghyun Kim, Sung Hoe Kim, Seung Gook Cha, Y. Yoon, B. Jang

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引用次数: 0

摘要

本文提出了一种基于深度神经网络(DNN)和时间调制的测向方法。与传统方法相比，该方法具有估计速度快、系统简单等优点。时间调制和深度神经网络的分辨率提高是之前研究方法的3倍。此外，通过实验验证了该方法具有更高的分辨率和相似的精度。

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DNN-based Direction Finding by Time Modulation

In this paper, novel direction finding method based on deep neural network (DNN) and time modulation is proposed for resolution improvement. The proposed method has fast estimation time and simple system compared to the conventional method. The resolution improvement by the time modulation and DNN is three times higher than the previously studied method. In addition to, through an experiment, the proposed method has been validated to have higher resolution and similar accuracy.

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来源期刊

2020 IEEE International Symposium on Antennas and Propagation and North American Radio Science Meeting

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