首页|System error iterative identification for underwater positioning based on spectral clustering

System error iterative identification for underwater positioning based on spectral clustering

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The observation error model of the underwater acous-tic positioning system is an important factor to influence the positioning accuracy of the underwater target.For the position inconsistency error caused by considering the underwater tar-get as a mass point,as well as the observation system error,the traditional error model best estimation trajectory(EMBET)with little observed data and too many parameters can lead to the ill-condition of the parameter model.In this paper,a multi-station fusion system error model based on the optimal polynomial con-straint is constructed,and the corresponding observation sys-tem error identification based on improved spectral clustering is designed.Firstly,the reduced parameter unified modeling for the underwater target position parameters and the system error is achieved through the polynomial optimization.Then a multi-sta-tion non-oriented graph network is established,which can address the problem of the inaccurate identification for the sys-tem errors.Moreover,the similarity matrix of the spectral cluster-ing is improved,and the iterative identification for the system errors based on the improved spectral clustering is proposed.Finally,the comprehensive measured data of long baseline lake test and sea test show that the proposed method can accu-rately identify the system errors,and moreover can improve the positioning accuracy for the underwater target positioning.

acoustic positioningreduced parametersystem error identificationimproved spectral clusteringaccuracy analy-sis

LU Yu、WANG Jiongqi、HE Zhangming、ZHOU Haiyin、XING Yao、ZHOU Xuanying

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College of Sciences,National University of Defense Technology,Changsha 410073,China

National Natural Science Foundation of ChinaNational Natural Science Foundation of ChinaNational Natural Science Foundation of ChinaNatural Science Foundation of Hunan ProvinceNatural Science Foundation of Hunan ProvinceNatural Science Foundation of Hunan ProvinceFundamentals and Basic of Applications Research Foundation of Guangdong Province

6190308661903366620011152019JJ507452020JJ42802021JJ401332019A1515110136

2024

10.23919/JSEE.2024.000069

系统工程与电子技术(英文版)
中国航天科工防御技术研究院 中国宇航学会 中国系统工程学会 中国系统仿真学会

系统工程与电子技术(英文版)

CSTPCD
影响因子：0.64
ISSN：1004-4132
年,卷(期)：2024.35(4)