A High-Precision Direction Finding Method Assisted by Multipoint Ranging Sequences

The positioning accuracy of radio aviation search and rescue is composed of two parts: ranging error and direction finding error. Direction finding error is easily affected by complex environmental interference, leading to a rapid increase in positioning error. To solve this problem, this work proposes a novelly method of using multi-point ranging information to improve direction finding accuracy. Firstly, virtual target positions are generated using direction finding estimation information. Then, a set of ranging sequences is constructed, and direction finding information is estimated using multi-point ranging information and airborne position information in the set. Subsequently, a method using GDOP metric to update the set of ranging sequences is proposed, which significantly reduces the computational complexity and storage unit of the algorithm while ensuring its accuracy. Finally, simulation results show that the proposed method can achieve high-precision direction finding performance in complex environments.

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Publication Details

Published
2024-08-19
DOI
https://doi.org/10.1109/icspcc62635.2024.10770505
Primary Topic
Indoor and Outdoor Localization Technologies
Type
article
Field-Weighted Citation Impact
0.00

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article

A High-Precision Direction Finding Method Assisted by Multipoint Ranging Sequences

Yuan Zhao, Chengkai Tang, Zesheng Dan, Yangyang Liu et al.
Indoor and Outdoor Localization Technologies
article

A High-Precision Direction Finding Method Assisted by Multipoint Ranging Sequences

Yuan Zhao, Chengkai Tang, Zesheng Dan, Yangyang Liu, Tianyu Li, Yankang Bai
article en

Abstract

The positioning accuracy of radio aviation search and rescue is composed of two parts: ranging error and direction finding error. Direction finding error is easily affected by complex environmental interference, leading to a rapid increase in positioning error. To solve this problem, this work proposes a novelly method of using multi-point ranging information to improve direction finding accuracy. Firstly, virtual target positions are generated using direction finding estimation information. Then, a set of ranging sequences is constructed, and direction finding information is estimated using multi-point ranging information and airborne position information in the set. Subsequently, a method using GDOP metric to update the set of ranging sequences is proposed, which significantly reduces the computational complexity and storage unit of the algorithm while ensuring its accuracy. Finally, simulation results show that the proposed method can achieve high-precision direction finding performance in complex environments.

Northwestern Polytechnical University (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 77%
Indoor and Outdoor Localization Technologies
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