TY - GEN
T1 - A High-Precision Direction Finding Method Assisted by Multipoint Ranging Sequences
AU - Liu, Yangyang
AU - Li, Tianyu
AU - Zhao, Yuan
AU - Tang, Chengkai
AU - Dan, Zesheng
AU - Bai, Yankang
N1 - Publisher Copyright:
© 2024 IEEE.
PY - 2024
Y1 - 2024
N2 - 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.
AB - 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.
KW - Direction finding
KW - GDOP
KW - Ranging
UR - http://www.scopus.com/inward/record.url?scp=85214915099&partnerID=8YFLogxK
U2 - 10.1109/ICSPCC62635.2024.10770505
DO - 10.1109/ICSPCC62635.2024.10770505
M3 - 会议稿件
AN - SCOPUS:85214915099
T3 - 2024 IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2024
BT - 2024 IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2024
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 14th IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2024
Y2 - 19 August 2024 through 22 August 2024
ER -