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基于置信度加權(quán)的拖拉機(jī)組合導(dǎo)航融合定位方法
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國(guó)家高技術(shù)研究發(fā)展計(jì)劃(863計(jì)劃)資助項(xiàng)目(2013AA100307);中央高?;究蒲袠I(yè)務(wù)費(fèi)專(zhuān)項(xiàng)資金資助項(xiàng)目(2013QJ018)


Fusion Positioning Method Based on Weighted-confidence for Tractor Integrated Navigation
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    摘要:

    針對(duì)拖拉機(jī)在田間復(fù)雜工作環(huán)境中可能遇到因異常波動(dòng)或傳感器信息丟失而造成定位失敗或偏差過(guò)大的問(wèn)題,設(shè)計(jì)了一種基于置信度加權(quán)的多傳感器融合定位系統(tǒng),,該系統(tǒng)主要由GPS定位系統(tǒng)和航位推算(DR)系統(tǒng)組成,并基于聯(lián)邦Kalman濾波設(shè)計(jì)了相應(yīng)的子濾波器以及全局濾波器,。同時(shí),,基于各傳感器的置信距離與置信度函數(shù)計(jì)算得到各子濾波器的置信度,,并將其進(jìn)行加權(quán)運(yùn)算后作為自適應(yīng)因子,,在全濾波器中進(jìn)行最優(yōu)融合,得到更準(zhǔn)確的位姿估計(jì),。最后通過(guò)計(jì)算機(jī)仿真和田間試驗(yàn)驗(yàn)證了該方法的有效性和可靠性,。

    Abstract:

    According to the problem of location failure or large deviation probably generated on account of sensor information loss or abnormal fluctuation when the tractor worked in the complicated field environment, a multi-sensor fusion positioning system based on the weighted-confidence was designed, which composed of global position system and dead reckoning system. The corresponding sub-filter and the global filter were constructed based on the federated Kalman filtering. Then the confidence distance and confidence function of every sensor was defined to compute the confidence coefficient of each sub-filter, which was used as adaptive factor after weighted arithmetic. Finally, the adaptive factors were fused optimally in the global filter to get more accurate position estimates. The computer simulation and field test were carried out to validate the effectiveness and reliability of the designed multi-sensor fusion positioning system.

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朱忠祥,韓科立,宋正河,謝斌,毛恩榮.基于置信度加權(quán)的拖拉機(jī)組合導(dǎo)航融合定位方法[J].農(nóng)業(yè)機(jī)械學(xué)報(bào),2013,44(Supp1):210-215,223. Zhu Zhongxiang, Han Keli, Song Zhenghe, Xie Bin, Mao Enrong. Fusion Positioning Method Based on Weighted-confidence for Tractor Integrated Navigation[J]. Transactions of the Chinese Society for Agricultural Machinery,2013,44(Supp1):210-215,223.

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  • 在線發(fā)布日期: 2013-10-22
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