联合一维到达角和到达时差的水下目标快速定位算法

Hua Yu, Yuanyuan Ou, Yonghua Chen, Lijun Xu

科研成果: 期刊稿件文章同行评审

1 引用 (Scopus)

摘要

To address the issues of low positioning accuracy due to underwater current drift or engineering measurement-induced sensor location errors and the use of only a single observation parameter, this paper proposes a fast underwater target positioning algorithm that jointly utilizes one-dimensional angle of arrival(1-D AOA)and time difference of arrival (TDOA), which determines the target position by the intersection point of a cone and a hyperboloid. First, under the influence of observation noise and linear array midpoint position perturbation noise, we derived the nonlinear equation relating the joint 1-D AOA and TDOA observations to the target position. Next, we proposed a two-step weighted least squares (WLS)solving algorithm. In the first step, the algorithm introduces auxiliary variables to transform the nonlinear equation into a pseudo-linear equation and uses the WLS method to obtain a rough estimate of the target position. In the second step, the relationship between the target position and auxiliary variables is used to construct a new equation, and the WLS method is applied again to obtain a more accurate target position estimate. Subsequently, we derived the Cramer-Rao lower bound(CRLB)under observation noise and linear array midpoint position perturbation noise to evaluate positioning performance. Simulation results show that, compared to existing algorithms that jointly use 1-D AOA and TDOA measurements, the proposed algorithm considers linear array midpoint position errors and achieves higher positioning accuracy in scenarios with sensor location errors.

投稿的翻译标题A Fast Localization Algorithm for Underwater Targets Using Joint One-Dimensional Angle of Arrival and Time Difference of Arrival
源语言繁体中文
页(从-至)1857-1865
页数9
期刊Journal of Signal Processing
39
10
DOI
出版状态已出版 - 10月 2023

关键词

  • one-dimensional angle of arrival
  • time difference of arrival
  • underwater target localization

指纹

探究 '联合一维到达角和到达时差的水下目标快速定位算法' 的科研主题。它们共同构成独一无二的指纹。

引用此