TY - JOUR
T1 - Bio-inspired Enhanced Underwater Dead Reckoning Solution via IMU/Polarization/DVL Integration
AU - Zhang, Teng
AU - Shen, Xinjing
AU - Li, Wenshuo
AU - Yang, Jian
AU - Qiao, Jianzhong
AU - Yu, Xiang
N1 - Publisher Copyright:
Copyright © 2025 The Authors.
PY - 2025/8/1
Y1 - 2025/8/1
N2 - Dead reckoning (DR) is a fundamental navigation technique for unmanned underwater vehicles (UUVs), yet its accuracy is constrained by attitude estimation, particularly heading determination, in complex and unstructured environments. This paper proposes an enhanced underwater DR framework integrating the Inertial Measurement Unit (IMU), polarization, and Doppler Velocity Log (DVL). To mitigate attitude drift, the DVL-derived velocity is employed for attitude updates instead of conventional integration-based methods. In addition, polarization cues are leveraged for heading correction, forming the polarization-based DR (POL-based DR) system. Following that, we develop a multi-sensor fusion strategy incorporating POL-based DR, IMU, and DVL, significantly improving both heading and positioning accuracy. Simulation and ocean experiments are conducted to validate the effectiveness of the proposed approach.
AB - Dead reckoning (DR) is a fundamental navigation technique for unmanned underwater vehicles (UUVs), yet its accuracy is constrained by attitude estimation, particularly heading determination, in complex and unstructured environments. This paper proposes an enhanced underwater DR framework integrating the Inertial Measurement Unit (IMU), polarization, and Doppler Velocity Log (DVL). To mitigate attitude drift, the DVL-derived velocity is employed for attitude updates instead of conventional integration-based methods. In addition, polarization cues are leveraged for heading correction, forming the polarization-based DR (POL-based DR) system. Following that, we develop a multi-sensor fusion strategy incorporating POL-based DR, IMU, and DVL, significantly improving both heading and positioning accuracy. Simulation and ocean experiments are conducted to validate the effectiveness of the proposed approach.
KW - Bio-inspired polarization navigation
KW - sensor data fusion
KW - underwater dead reckoning
UR - https://www.scopus.com/pages/publications/105025906062
U2 - 10.1016/j.ifacol.2025.11.178
DO - 10.1016/j.ifacol.2025.11.178
M3 - 会议文章
AN - SCOPUS:105025906062
SN - 2405-8971
VL - 59
SP - 369
EP - 374
JO - IFAC-PapersOnLine
JF - IFAC-PapersOnLine
IS - 20
T2 - 23th IFAC Symposium on Automatic Control in Aerospace, ACA 2025
Y2 - 2 August 2025 through 6 August 2025
ER -