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Research on USBL positioning method for multi-AUVs operations using FFT-accelerated sparse deconvolution

delete2025-12-17
delete0
PRE
AI
S
Shuo Yang
Z
Zhiwen Qian *
Y
Yi Zhu
J
Jie Li
J
Jingsheng Zhai
DOI：10.1016/j.measurement.2025.120070delete
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Abstract

Abstract

En 中文
• Proposes an FFT-accelerated sparse deconvolution USBL scheme to address limited multi-users access and low DOA resolution in traditional USBL, expanding multi-AUVs positioning capacity. • Develops a Co-positioning algorithm for TOA and DOA estimation, solving DOA information matching between independent subarrays to coordinate positioning parameters. • Investigates two improved algorithms: FFT-FISTA suits real-time scenarios with low complexity, while FFT-ADMM offers higher accuracy and stability for complex environments.

Journal

Measurement cover
Measurement
IF:
5.6
Papers:
1.9W
Citations:
5.4W

Organization

No organization information available