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具有等梯度声速剖面和接收器位置不确定性的分布式单输入多输出声纳的水下目标定位与同步

Underwater Target Localization and Synchronization for a Distributed SIMO Sonar with an Isogradient SSP and Uncertainties in Receiver Locations.

作者信息

He Chaofeng, Wang Yiyin, Yu Wenbin, Song Lei

机构信息

The Department of Automation, Shanghai Jiao Tong University, Collaborative Innovation Center for Advanced Ship and Deep-Sea Exploration (CISSE), Key Laboratory of System Control and Information Processing, Ministry of Education of China, Shanghai 200240, China.

出版信息

Sensors (Basel). 2019 Apr 27;19(9):1976. doi: 10.3390/s19091976.

Abstract

A distributed single-input multiple-output (SIMO) sonar system is composed of a sound source and multiple underwater receivers. It provides an important framework for underwater target localization. However, underwater hostile environments bring more challenges for underwater target localization than terrestrial target localization, such as the difficulties of synchronizing all the underwater receiver clocks, the varying underwater sound speed and the uncertainties of the locations of the underwater receivers. In this paper, we take the sound speed variation, the time synchronization and the uncertainties of the receiver locations into account, and propose the underwater target localization and synchronization (UTLS) algorithm for the distributed SIMO sonar system. In the distributed SIMO sonar system, the receivers are organized in a star topology, where the information fusion is carried out in the central receiver (CR). All the receivers are not synchronized and their positions are known with uncertainties. Moreover, the underwater sound speed is approximately modeled by a depth-dependent sound speed profile (SSP). We evaluate our proposed UTLS algorithm by comparing it with several benchmark algorithms via numerical simulations. The simulation results reveal the superiority of our proposed UTLS algorithm.

摘要

分布式单输入多输出(SIMO)声纳系统由一个声源和多个水下接收器组成。它为水下目标定位提供了一个重要框架。然而,水下恶劣环境给水下目标定位带来了比陆地目标定位更多的挑战,比如同步所有水下接收器时钟的困难、水下声速的变化以及水下接收器位置的不确定性。在本文中,我们考虑了声速变化、时间同步以及接收器位置的不确定性,并针对分布式SIMO声纳系统提出了水下目标定位与同步(UTLS)算法。在分布式SIMO声纳系统中,接收器采用星型拓扑结构组织,信息融合在中央接收器(CR)中进行。所有接收器不同步,且其位置存在不确定性。此外,水下声速通过深度依赖声速剖面(SSP)进行近似建模。我们通过数值模拟将所提出的UTLS算法与几种基准算法进行比较,对其进行评估。仿真结果揭示了我们所提出的UTLS算法的优越性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ae4a/6539302/e87e8332e8ac/sensors-19-01976-g001.jpg

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