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一種基于時(shí)空交叉點(diǎn)新特征的航跡關(guān)聯(lián)算法

崔亞奇,  熊偉,  唐田田

崔亞奇, 熊偉, 唐田田. 一種基于時(shí)空交叉點(diǎn)新特征的航跡關(guān)聯(lián)算法[J]. 電子與信息學(xué)報(bào), 2020, 42(10): 2500-2507. doi: 10.11999/JEIT190822
引用本文: 崔亞奇, 熊偉, 唐田田. 一種基于時(shí)空交叉點(diǎn)新特征的航跡關(guān)聯(lián)算法[J]. 電子與信息學(xué)報(bào), 2020, 42(10): 2500-2507. doi: 10.11999/JEIT190822
Yaqi CUI, Wei XIONG, Tiantian TANG. A Track Correlation Algorithm Based on New Space-time Cross-point Feature[J]. Journal of Electronics & Information Technology, 2020, 42(10): 2500-2507. doi: 10.11999/JEIT190822
Citation: Yaqi CUI, Wei XIONG, Tiantian TANG. A Track Correlation Algorithm Based on New Space-time Cross-point Feature[J]. Journal of Electronics & Information Technology, 2020, 42(10): 2500-2507. doi: 10.11999/JEIT190822

一種基于時(shí)空交叉點(diǎn)新特征的航跡關(guān)聯(lián)算法

doi: 10.11999/JEIT190822

  • 海軍航空大學(xué)信息融合研究所 煙臺(tái) 264001

基金項(xiàng)目: 國家自然科學(xué)重大專項(xiàng)基金(61790550, 61790554)
詳細(xì)信息
    作者簡介:

    崔亞奇：男，1987年生，講師，研究方向?yàn)楹桔E關(guān)聯(lián)、狀態(tài)估計(jì)融合、機(jī)器學(xué)習(xí)、人工智能

    熊偉：男，1977年生，教授，研究方向?yàn)槎鄠鞲衅餍畔⑷诤?，指揮自動(dòng)化

    唐田田：女，1989年生，講師，研究方向?yàn)榇髷?shù)據(jù)技術(shù)及應(yīng)用

    通訊作者:

    崔亞奇　cui_yaqi@126.com

  • 中圖分類號(hào): TN953; TN957.51

A Track Correlation Algorithm Based on New Space-time Cross-point Feature

  • Institute of Information Fusion, Naval Aeronautical and Astronautically University, Yantai 264001, China

Funds: The National Natural Science Major Special Projects Foundation of China (61790550, 61790554)
  • 摘要: 為有效解決實(shí)際工程中的航跡關(guān)聯(lián)問題，該文定義了廣義時(shí)空交叉點(diǎn)，并提出了以航跡對(duì)時(shí)空交叉點(diǎn)為特征，通過特征匹配來實(shí)現(xiàn)航跡抗差關(guān)聯(lián)的新方法。實(shí)測數(shù)據(jù)驗(yàn)證結(jié)果表明：在雷達(dá)航跡不完全匹配且存在時(shí)空差異誤差的情況下，該方法可有效實(shí)現(xiàn)雷達(dá)航跡的抗差關(guān)聯(lián)，并且?guī)缀醪皇軙r(shí)空差異誤差大小的影響，具有強(qiáng)魯棒性和穩(wěn)定性，可有效解決實(shí)際工程中的航跡關(guān)聯(lián)問題，消除冗余航跡，提供統(tǒng)一態(tài)勢(shì)。
    Abstract: To solve the problem of track correlation in practical engineering effectively, a new concept of generalized space-time cross point of track pair is defined in this paper. Then a new algorithm which utilize space-time cross-point as feature points and realizes the track correlation through feature point matching is proposed in this paper. The test experiments with measured data illustrate the proposed algorithm of which the performance is effective, stable and robust, can eliminate redundant tracks and provide a unified situation.
    • HTML全文

  • 圖  1  時(shí)空交叉點(diǎn)

    圖  2  測試數(shù)據(jù)1中雷達(dá)原始航跡示意

    圖  3  算法補(bǔ)償后測試數(shù)據(jù)1中雷達(dá)航跡示意

    圖  4  測試環(huán)境2中雷達(dá)原始航跡示意

    圖  5  測試環(huán)境2中算法補(bǔ)償后雷達(dá)航跡示意

    圖  6  測試環(huán)境3中雷達(dá)原始航跡示意

    圖  7  測試環(huán)境3中算法補(bǔ)償后雷達(dá)航跡示意

    表  1  測試數(shù)據(jù)1下傅里葉算法關(guān)聯(lián)結(jié)果

    雷達(dá)1批號(hào)1112
    雷達(dá)2批號(hào)2122
    空間誤差估計(jì)(m)580.14 878.56580.14 878.56
    下載: 導(dǎo)出CSV

    表  2  測試數(shù)據(jù)1下交叉點(diǎn)算法關(guān)聯(lián)結(jié)果

    雷達(dá)1批號(hào)15131112
    雷達(dá)2批號(hào)25232122
    關(guān)聯(lián)系數(shù)0.6570.6570.6480.503
    時(shí)間誤差估計(jì)(s)30.3130.3125.4229.57
    空間誤差估計(jì)(m)525.22 819.61525.22 819.61571.18 813.87468.00 825.56
    下載: 導(dǎo)出CSV

    表  3  測試數(shù)據(jù)2下傅里葉算法關(guān)聯(lián)結(jié)果

    雷達(dá)1批號(hào)13
    雷達(dá)2批號(hào)23
    空間誤差估計(jì)(m)5310.32 8605.41
    下載: 導(dǎo)出CSV

    表  4  測試環(huán)境2下交叉點(diǎn)算法關(guān)聯(lián)結(jié)果

    雷達(dá)1批號(hào)131514
    雷達(dá)2批號(hào)232524
    關(guān)聯(lián)系數(shù)0.8450.8450.835
    時(shí)間誤差估計(jì)89.0389.0386.17
    空間誤差估計(jì)4876.42 7953.414876.42 7953.415053.34 8036.30
    下載: 導(dǎo)出CSV

    表  5  測試環(huán)境3下交叉差算法關(guān)聯(lián)結(jié)果

    雷達(dá)1批號(hào)1712111814131615
    雷達(dá)2批號(hào)2722212824232625
    下載: 導(dǎo)出CSV

    表  6  測試環(huán)境3下傅里葉算法關(guān)聯(lián)結(jié)果

    雷達(dá)1批號(hào)111816
    雷達(dá)2批號(hào)212826
    下載: 導(dǎo)出CSV
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  • 收稿日期:  2019-10-25
  • 修回日期:  2020-05-04
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  • 刊出日期:  2020-10-13

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