哈尔滨工程大学学报2025，Vol.46Issue(12)：2462-2471,10.DOI:10.11990/jheu.202408013
基于不敏变换的自主式主被动水下目标融合定位
Distributed active-passive underwater target fusion location based on unscented transform
摘要
Abstract
In order to improve the positioning accuracy of underwater targets in deep-sea complex environments,this paper uses a two-dimensional sound velocity correction table method firstly for the bending of deep-sea sound rays,and realizes the precise positioning in active detection mode.Secondly,considering the nonlinearity of underwater target positioning algorithms,the optimal position estimation based on unscented transform is used to make the ac-tive and passive information of heteroid multi-platform fully participate in target positioning.Then,in order to solve the problem of correlation between the positioning results of active and passive sonar,the distributed fusion positio-ning based on correlation analysis is used for decorrelation processing to further optimize the positioning accuracy.Simulation verifies that fully considering the impact of correlation can make the fusion positioning results more accu-rate.Simultaneously,the processing of 1 700 m deep sea trial data in the South China Sea proves the effectiveness of the algorithm in practical applications.This study can effectively improve the positioning accuracy of underwater targets in complex deep-sea environments,providing reliable technical support for the engineering applications of deep-sea precise detection and underwater surveillance systems.关键词
水下目标定位/主被动融合定位/自主式融合/不敏变换/声速修正/相关型分析/异构融合/深海Key words
underwater target positioning/active-passive fusion localization/distributed fusion/unscented trans-form/sound velocity correction/correlation analysis/heterogeneous fusion/deep sea分类
信息技术与安全科学引用本文复制引用
生雪莉,王岩,吴赜屹,万林娜,石冰玉,朱一川..基于不敏变换的自主式主被动水下目标融合定位[J].哈尔滨工程大学学报,2025,46(12):2462-2471,10.基金项目
国家自然科学基金联合基金项目(U20A20329) （U20A20329）
国家重点研发计划(2022YFC2807804). （2022YFC2807804）
