A Review on Machine Learning-Based Radio Direction Finding-Reference-Cited by-同舟云学术

A Review on Machine Learning-Based Radio Direction Finding

Published:2020-08-24 Issue: Volume:2020 Page:1-9
ISSN:1024-123X
Container-title:Mathematical Problems in Engineering
language:en
Short-container-title:Mathematical Problems in Engineering

Author:

You Ming-Yi¹²^ORCID,Lu An-Nan¹²,Ye Yun-Xia¹²^ORCID,Huang Kai¹²^ORCID,Jiang Bin¹²

Affiliation:

1. Science and Technology on Communication Information Security Control Laboratory, Jiaxing, Zhejiang 314033, China

2. No. 36 Research Institute of CETC, Jiaxing, Zhejiang 314033, China

Abstract

The research and applications of radio direction-finding technology based on machine learning are reviewed. Detailed application scenarios are summarized with focus on the advantages of machine learning-based direction-finding models. Important elements such as problem formulation and model inputs and outputs are introduced in detail. Finally, some valuable future research topics are discussed.

Funder

China Electronics Technology Group Corporation

Publisher

Hindawi Limited

Subject

General Engineering,General Mathematics

Link

http://downloads.hindawi.com/journals/mpe/2020/8345413.pdf

Reference16 articles.

1. Direction of arrival estimation based on phase differences using neural fuzzy network

2. Direction of Arrival (DoA) Estimation Under Array Sensor Failures Using a Minimal Resource Allocation Neural Network

3. A Support Vector Regression-Based Method for Target Direction of Arrival Estimation From HF Radar Data