Improved analytical solution with optimization constraints using TDOA and FDOA measurements for USV/AUV collaborative localization

IF 3.4 2区 工程技术 Q2 ENGINEERING, ELECTRICAL & ELECTRONIC Signal Processing Pub Date : 2024-11-03 DOI:10.1016/j.sigpro.2024.109760
Huaxia Zhang , Huigang Wang , Juan Lei , Weina Zhao
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引用次数: 0

Abstract

The paper introduces an enhanced constrained two-step weighted least squares (WLS) analytic localization algorithm designed to determine the AUV’s position and velocity within the collaborative localization system, utilizing time difference of arrival and frequency difference of arrival measurements. This algorithm integrates optimization constraints between intermediate variables and target motion parameters, producing precise analytical solution based on WLS minimization criterion. The proposed process not only reduces computational burden by providing an analytical solution but also enhances estimation accuracy through the incorporation of optimization constraints. Analytical assessments and statistical simulations highlight the superior estimation accuracy of the proposed algorithm, and demonstrate that the position and velocity estimation accuracy align with the Cramér-Rao lower bound under appropriate measurement noise conditions.
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利用 TDOA 和 FDOA 测量改进分析解决方案,为 USV/AUV 协同定位提供优化约束条件
本文介绍了一种增强型受限两步加权最小二乘法(WLS)分析定位算法,旨在利用到达时间差和到达频率差测量值,在协作定位系统内确定 AUV 的位置和速度。该算法整合了中间变量和目标运动参数之间的优化约束,根据 WLS 最小化准则生成精确的解析解。所提出的流程不仅通过提供分析解决方案减轻了计算负担,还通过纳入优化约束提高了估计精度。分析评估和统计模拟凸显了所提算法卓越的估计精度,并证明在适当的测量噪声条件下,位置和速度估计精度与克拉梅尔-拉奥下限一致。
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来源期刊
Signal Processing
Signal Processing 工程技术-工程:电子与电气
CiteScore
9.20
自引率
9.10%
发文量
309
审稿时长
41 days
期刊介绍: Signal Processing incorporates all aspects of the theory and practice of signal processing. It features original research work, tutorial and review articles, and accounts of practical developments. It is intended for a rapid dissemination of knowledge and experience to engineers and scientists working in the research, development or practical application of signal processing. Subject areas covered by the journal include: Signal Theory; Stochastic Processes; Detection and Estimation; Spectral Analysis; Filtering; Signal Processing Systems; Software Developments; Image Processing; Pattern Recognition; Optical Signal Processing; Digital Signal Processing; Multi-dimensional Signal Processing; Communication Signal Processing; Biomedical Signal Processing; Geophysical and Astrophysical Signal Processing; Earth Resources Signal Processing; Acoustic and Vibration Signal Processing; Data Processing; Remote Sensing; Signal Processing Technology; Radar Signal Processing; Sonar Signal Processing; Industrial Applications; New Applications.
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