Improving Accuracy of an Amplitude Comparison-Based Direction-Finding System by Neural Network Optimization

Improving Accuracy of an Amplitude Comparison-Based Direction-Finding System by Neural Network Optimization

In the positioning and navigation field, it is essential to use the direction-finding system to obtain the signal direction of arrival (DOA) and target position. The amplitude comparison-based monopulse (ACM) DOA algorithm performs a few calculations, has a simple system structure, and is widely use...

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Bibliographic Details
Main Authors: Enqi Yan, Xiye Guo, Jun Yang, Zhijun Meng, Kai Liu, Xiaoyu Li, Guokai Chen
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Positioning
direction-finding
amplitude comparison
neural network
signal direction of arrival estimation
Online Access:https://ieeexplore.ieee.org/document/9195881/

Internet

https://ieeexplore.ieee.org/document/9195881/

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