分布式多傳感器數(shù)據(jù)融合中的雙門限航跡相關(guān)算法
BINARY TRACK CORRELATION ALGORITHMS IN A DISTRIBUTED MULTISENSOR DATA FUSION SYSTEM
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摘要: 本文提出兩種適合于分布式多傳感器數(shù)據(jù)融合的雙門限航跡相關(guān)算法.文中對這兩種雙門限航跡相關(guān)準(zhǔn)則進行了詳細的描述,研究了航跡相關(guān)質(zhì)量設(shè)計、多義性處理和漏相關(guān)概率的估計方法,并通過仿真將它們與兩個經(jīng)典方法進行了比較.仿真結(jié)果表明,在密集目標(biāo)環(huán)境下和/或交叉、分岔和機動航跡較多的場合,雙門限航跡相關(guān)算法的性能明顯優(yōu)于傳統(tǒng)方法,其正確相關(guān)率比傳統(tǒng)方法提高了大約35％.
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關(guān)鍵詞:
- 信息融合; 航跡相關(guān); 多傳感器; 多目標(biāo); 雷達網(wǎng)
Abstract: This paper presents two binary track correlation algorithms applying to distributed multisensor data fusion. In the paper, these two binary track correlation criteria are described in detail,and track correlation mass design, multivalency processing methods and miss correlation probability estimation methods are discussed as well. Moreover, they are compared with two classical methods through simulation. The simulation results show that the performance of the two binary track correlation algorithms is much better than that of the classical methods in dense multitarget environments, more cross, split and maneuvering track situations. Under above situation their correct correlation rate is improved about 35 per cent over teh classical methods. -
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