A Track Initiation Method for the Underwater Target Tracking Environment
查看参考文献27篇
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文摘
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A novel efficient track initiation method is proposed for the harsh underwater target tracking environment (heavy clutter and large measurement errors): track splitting, evaluating, pruning and merging method (TSEPM). Track initiation demands that the method should determine the existence and initial state of a target quickly and correctly. Heavy clutter and large measurement errors certainly pose additional difficulties and challenges, which deteriorate and complicate the track initiation in the harsh underwater target tracking environment. There are three primary shortcomings for the current track initiation methods to initialize a target: (a) they cannot eliminate the turbulences of clutter effectively; (b) there may be a high false alarm probability and low detection probability of a track; (c) they cannot estimate the initial state for a new confirmed track correctly. Based on the multiple hypotheses tracking principle and modified logic-based track initiation method, in order to increase the detection probability of a track, track splitting creates a large number of tracks which include the true track originated from the target. And in order to decrease the false alarm probability, based on the evaluation mechanism, track pruning and track merging are proposed to reduce the false tracks. TSEPM method can deal with the track initiation problems derived from heavy clutter and large measurement errors, determine the target's existence and estimate its initial state with the least squares method. What's more, our method is fully automatic and does not require any kind manual input for initializing and tuning any parameter. Simulation results indicate that our new method improves significantly the performance of the track initiation in the harsh underwater target tracking environment. |
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来源
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China Ocean Engineering
,2018,32(2):206-215 【核心库】
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DOI
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10.1007/s13344-018-0022-0
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关键词
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track initiarion
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track splitting
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track evaluating
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track pruning
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track merging
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large measurement errors
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heavy clutter
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harsh underwater environment
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TSEPM
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地址
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1.
Shenyang Institute of Automation, Chinese Academy of Sciences, State Key Laboratory of Robotics, Shenyang, 110016
2.
University of Chinese Academy of Sciences, Beijing, 100049
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语种
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英文 |
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文献类型
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研究性论文 |
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ISSN
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0890-5487 |
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学科
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社会科学总论;水路运输 |
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基金
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supported by the Key Research Program of the Chinese Academy of Sciences
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国家自然科学基金
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State Key Laboratory of Robotics Foundation
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文献收藏号
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CSCD:6218232
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