Gaussian Parameterized Information Aided Distributed Cooperative Underwater Positioning Algorithm

Lingling Zhang, Chengkai Tang, Peilin Chen, Yi Zhang

科研成果: 期刊稿件文章同行评审

11 引用 (Scopus)

摘要

With the exploration of marine resources, the number of underwater nodes is increasing with each passing day, and the demand of mutual cooperative position between nodes is becoming extremely urgent. The existing underwater positioning technology is mainly realized by transplanting cooperative position technology from ground space, without taking into consideration the consequent problems of complex underwater acoustic channels, large signal propagation attenuation and the limited load of underwater nodes. According to the characteristics of the underwater cooperative position network, this paper proposes gaussian parameterized information aided distributed cooperative positioning algorithm (GPI-CP) with underwater environment. The algorithm utilized here is the form of Gauss parameter to calculate information and establish a confidence model. In order to reduce the computational complexity, the Taylor model was adopted to linear approximate European distance. Then distributed underwater node cooperative position is obtained by combing with the factor map theory. This algorithm combined with the sum-product theory and parameterized Gaussian information transmission, is promising to realize fast underwater cooperative position and reduce communication calculations. The proposed algorithm was simulated and analyzed in terms of location ambiguity, ranging error and the number of nodes, etc. When the proposed algorithm was compared with the existing underwater cooperative position method, it was noticed that the position performance had improved more than 10% and the communication calculation is less.

源语言英语
文章编号9046042
页(从-至)64634-64645
页数12
期刊IEEE Access
8
DOI
出版状态已出版 - 2020

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