方位(导航)
克拉姆-饶行
方位角
职位(财务)
航程(航空)
最小二乘函数近似
算法
计算机科学
水下
到达角
控制理论(社会学)
半定规划
数学
数学优化
工程类
估计理论
人工智能
地质学
统计
电信
海洋学
几何学
控制(管理)
财务
估计员
天线(收音机)
经济
航空航天工程
作者
Peijuan Li,Yiting Liu,Tingwu Yan,Shutao Yang,Rui Li
出处
期刊:Sensors
[MDPI AG]
日期:2024-03-01
卷期号:24 (5): 1627-1627
被引量:1
摘要
Angle-of-arrival (AOA) measurements are often used in underwater acoustical localization. Different from the traditional AOA model based on azimuth and elevation measurements, the AOA model studied in this paper uses bearing measurements. It is also often used in the Ultra-Short Baseline system (USBL). However, traditional acoustical localization needs additional range information. If the range information is unavailable, the closed-form solution is difficult to obtain only with bearing measurements. Thus, a localization closed-form solution using only bearing measurements is explored in this article. A pseudo-linear measurement model between the source position and the bearing measurements is derived, and considering the nonlinear relationship of the parameters, a weighted least-squares optimization equation based on multiple constraints is established. Different from the traditional two-step least-squares method, the semidefinite programming (SDP) method is designed to obtain the initial solution, and then a bias compensation method is proposed to further minimize localization errors based on the SDP result. Numerical simulations show that the performance of the proposed method can achieve Cramer–Rao lower bound (CRLB) accuracy. The field test also proves that the proposed method can locate the source position without range measurements and obtain the highest positioning accuracy.
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